Altering protein specificity: techniques and applications

Deciphering the structural complexity of esterases in Amycolatopsis eburnea: A comprehensive exploration of solvent accessibility patterns

Carboxylesterases (CES) are pivotal enzymes in the hydrolysis of carboxylic esters, playing fundamental roles in both biological systems and biotechnological applications. This study investigates CES from the Amycolatopsis genus, characterized by its high GC content and structural complexity. Employing a machine learning-driven de novo modeling approach, we examined the primary sequences, physicochemical attributes, and structural characteristics of 109 CES proteins, including 23 from Amycolatopsis eburnea, which exhibit over 95 % sequence similarity to other species within the genus. Our analysis identified three distinct CES groups based on amino acid composition and molecular weight, with alanine, glycine, and valine as the most abundant residues. The isoelectric points varied from 4.9 to 10.27. Unsupervised agglomerative hierarchical clustering classified the CES into two major clusters, displaying >99.6 % structural similarity based on solvent accessibility. The average solvent-accessible surface area (SASA) was 9750 Å2, with backbone regions exhibiting greater solvent exposure than side chains (7888 Å2 vs. 3037 Å2). Key structural hot spots crucial for enzyme stability and folding were identified, offering potential targets for protein engineering. These findings provide valuable insights into the structural determinants of CES function, enabling rational design strategies to enhance enzyme performance and stability for biotechnological applications.

Directed evolution of proteoglycan-modifying enzymes: Functional applications in cervical cancer therapy

The study investigates the therapeutic potential of enzyme variations EP-22, DS-13, and SM-47 in cervical cancer treatment using HeLa and SiHa cell lines, focusing on their effects on cell viability, migration, and molecular targets. The MTT assay findings also show that at a concentration of 50 μg/mL, EP-22 has an IC50 value of 35 % for HeLa cells and 28 % for SiHa cells, a significant dose effect (p < 0.01). EP-22 was not less potent at a lower working concentration of 25 μg/mL and could reduce HeLa cell viability to 78 %. In this case, there were significant changes in the anti-migratory effect, as evidenced by 45 % inhibition of SiHa cell migration and a 12 % wound closure rate compared with 54 % in the untreated cells. The obtained densitometric analysis indicated that in EP-22 treated HeLa cells, syndecan-1 and perlecan protein levels were reduced by approximately 65 % and 57 %, respectively, while the MMP-2 and MMP-9 levels were reduced to about 50 % and 45 %, respectively. Annexin V staining also highlighted a 40 % enhancement in early apoptosis and 25 % in late apoptosis in EP-22 handled cells. These data suggest the potential of EP-22 and its derivatives as therapeutic molecules in cervical cancer treatment, reducing HeLa proliferation by 35 % and SiHa by 28 %, inhibiting SiHa migration by 45 %, and affecting molecular targets involved in adhesion and invasiveness. Future studies must elucidate the effectiveness of in vivo experiments and how these findings were obtained. At 50 μg/mL, EP-22 reduced HeLa and SiHa cell viability by 35 % and 28 %, respectively, with significant dose-dependent effects (p < 0.01). At 25 μg/mL, EP-22 maintained potency, reducing HeLa cell viability to 78 %. EP-22 inhibited SiHa cell migration by 45 % and reduced wound closure rates to 12 % compared to 54 % in untreated cells. This work uses the HeLa and SiHa cell lines to examine the therapeutic potential of enzyme variation EP-22 in cervical cancer. EP-22 showed significant anti-cancer effects at 50 μg/mL doses, reducing cell viability at lower concentrations and achieving an IC50 of 35 % for HeLa cells and 28 % for SiHa cells. It is worth mentioning that EP-22 considerably reduced levels of essential proteins: syndecan-1 (65 %), perlecan (57 %), MMP-2 (50 %), and MMP-9 (45 %), in addition to inhibiting SiHa cell migration by 45 %. Furthermore, annexin V staining showed that treated cells exhibited a 40 % increase in early apoptosis and a 25 % increase in late apoptosis.

Prospective identification of extracellular triacylglycerol hydrolase with conserved amino acids in Amycolatopsis tolypomycina's high G+C genomic dataset

Extracellular triacylglycerol hydrolases (ETH) play a critical role for microorganisms, acting as essential tools for lipid breakdown and survival in challenging environments. The pursuit of more effective ETH genes and enzymes through evolution holds significant potential for enhancing living conditions. This study employs a proteogenomic approach to identify high G+C ETH in a notable Gram-positive bacterium, Amycolatopsis tolypomycina. Utilizing knowledge from genome and machine learning algorithms, prospective ETH genes/enzymes were identified. Notably, the ETH structural conserved accessibility to solvent clearly indicated the specific sixteen residues (GLY50, PRO93, GLY141, ASP148, GLY151, ASP172, ALA176, GLY195, TYR196, SER197, GLN198, GLY199, GLY200, GLY225, PRO327, ASP336) with no frequency. By pinpointing key residues and understanding their role, this study sets the stage for enhancing ETH performance through computational proteogenomic and contributes to the broader field of enzyme engineering, facilitating the development of more efficient and versatile ETH enzymes tailored to specific industrial or environmental contexts.

Genetic Code Expansion: Recent Developments and Emerging Applications

The concept of genetic code expansion (GCE) has revolutionized the field of chemical and synthetic biology, enabling the site-specific incorporation of noncanonical amino acids (ncAAs) into proteins, thus opening new avenues in research and applications across biology and medicine. In this review, we cover the principles of GCE, including the optimization of the aminoacyl-tRNA synthetase (aaRS)/tRNA system and the advancements in translation system engineering. Notable developments include the refinement of aaRS/tRNA pairs, enhancements in screening methods, and the biosynthesis of noncanonical amino acids. The applications of GCE technology span from synthetic biology, where it facilitates gene expression regulation and protein engineering, to medicine, with promising approaches in drug development, vaccine production, and gene editing. The review concludes with a perspective on the future of GCE, underscoring its potential to further expand the toolkit of biology and medicine. Through this comprehensive review, we aim to provide a detailed overview of the current state of GCE technology, its challenges, opportunities, and the frontier it represents in the expansion of the genetic code for novel biological research and therapeutic applications.

Towards the understanding of molecular motors and its relationship with local unfolding

Molecular motors are machines essential for life since they convert chemical energy into mechanical work. However, the precise mechanism by which nucleotide binding, catalysis, or release of products is coupled to the work performed by the molecular motor is still not entirely clear. This is due, in part, to a lack of understanding of the role of force in the mechanical-structural processes involved in enzyme catalysis. From a mechanical perspective, one promising hypothesis is the Haldane-Pauling hypothesis which considers the idea that part of the enzymatic catalysis is strain-induced. It suggests that enzymes cannot be efficient catalysts if they are fully complementary to the substrates. Instead, they must exert strain on the substrate upon binding, using enzyme-substrate energy interaction (binding energy) to accelerate the reaction rate. A novel idea suggests that during catalysis, significant strain energy is built up, which is then released by a local unfolding/refolding event known as 'cracking'. Recent evidence has also shown that in catalytic reactions involving conformational changes, part of the heat released results in a center-of-mass acceleration of the enzyme, raising the possibility that the heat released by the reaction itself could affect the enzyme's integrity. Thus, it has been suggested that this released heat could promote or be linked to the cracking seen in proteins such as adenylate kinase (AK). We propose that the energy released as a consequence of ligand binding/catalysis is associated with the local unfolding/refolding events (cracking), and that this energy is capable of driving the mechanical work.

Logistic Regression-Guided Identification of Cofactor Specificity-Contributing Residues in Enzyme with Sequence Datasets Partitioned by Catalytic Properties

Changing the substrate/cofactor specificity of an enzyme requires multiple mutations at spatially adjacent positions around the substrate pocket. However, this is challenging when solely based on crystal structure information because enzymes undergo dynamic conformational changes during the reaction process. Herein, we proposed a method for estimating the contribution of each amino acid residue to substrate specificity by deploying a phylogenetic analysis with logistic regression. Since this method can estimate the candidate amino acids for mutation by ranking, it is readable and can be used in protein engineering. We demonstrated our concept using redox cofactor conversion of the Escherichia coli malic enzyme as a model, which still lacks crystal structure elucidation. The use of logistic regression with amino acid sequences classified by cofactor specificity showed that the NADP⁺-dependent malic enzyme completely switched cofactor specificity to NAD⁺ dependence without the need for a practical screening step. The model showed that surrounding residues made a greater contribution to cofactor specificity than those in the interior of the substrate pocket. These residues might be difficult to identify from crystal structure observations. We show that a highly accurate and inferential machine learning model was obtained using amino acid sequences of structurally homologous and functionally distinct enzymes as input data.

MicroSEC filters sequence errors for formalin-fixed and paraffin-embedded samples

The clinical sequencing of tumors is usually performed on formalin-fixed, paraffin-embedded samples and results in many sequencing errors. We identified that most of these errors are detected in chimeric reads caused by single-strand DNA molecules with microhomology. During the end-repair step of library preparation, mutations are introduced by the mis-annealing of two single-strand DNA molecules comprising homologous sequences. The mutated bases are distributed unevenly near the ends in the individual reads. Our filtering pipeline, MicroSEC, focuses on the uneven distribution of mutations in each read and removes the sequencing errors in formalin-fixed, paraffin-embedded samples without over-eliminating the mutations detected also in fresh frozen samples. Amplicon-based sequencing using 97 mutations confirmed that the sensitivity and specificity of MicroSEC were 97% (95% confidence interval: 82–100%) and 96% (95% confidence interval: 88–99%), respectively. Our pipeline will increase the reliability of the clinical sequencing and advance the cancer research using formalin-fixed, paraffin-embedded samples.

Masachika Ikegami and Shinji Kohsaka et al. develop MicroSEC, a computational pipeline to filter sequencing artifacts from archival formalin-fixed and paraffin-embedded samples. Given that archival FFPE tissue is of great interest for genomic analysis, but difficult to reliably analyze, this tool may improve the ability of researchers to probe sequencing data from these samples.

Covalent Modification of Proteins by Plant-Derived Natural Products: Proteomic Approaches and Biological Impacts

Plant-derived natural products (NPs) with electrophilic functional groups engage various subsets of the proteome via covalent modification of nucleophilic cysteine residues. This electrophile-nucleophile interaction can change protein conformation, alter protein function, and modulate their biological action. The biological significance of these covalent protein modifications in health and disease is increasingly recognized. One way to understand covalent NP-protein interactions is to utilize traditional proteomics and modern mass spectrometry (MS)-based proteomic strategies. These strategies have proven effective in uncovering specific NP protein targets and are critical first steps that allow for a much deeper understanding of the ability of NPs to modulate cellular processes. Here, plant-derived NPs that covalently modify proteins are reviewed, the biological significance of these covalent modifications, and the different proteomic strategies that have been employed to study these NP-protein interactions.

Main Structural Targets for Engineering Lipase Substrate Specificity

Microbial lipases represent one of the most important groups of biotechnological biocatalysts. However, the high-level production of lipases requires an understanding of the molecular mechanisms of gene expression, folding, and secretion processes. Stable, selective, and productive lipase is essential for modern chemical industries, as most lipases cannot work in different process conditions. However, the screening and isolation of a new lipase with desired and specific properties would be time consuming, and costly, so researchers typically modify an available lipase with a certain potential for minimizing cost. Improving enzyme properties is associated with altering the enzymatic structure by changing one or several amino acids in the protein sequence. This review detailed the main sources, classification, structural properties, and mutagenic approaches, such as rational design (site direct mutagenesis, iterative saturation mutagenesis) and direct evolution (error prone PCR, DNA shuffling), for achieving modification goals. Here, both techniques were reviewed, with different results for lipase engineering, with a particular focus on improving or changing lipase specificity. Changing the amino acid sequences of the binding pocket or lid region of the lipase led to remarkable enzyme substrate specificity and enantioselectivity improvement. Site-directed mutagenesis is one of the appropriate methods to alter the enzyme sequence, as compared to random mutagenesis, such as error-prone PCR. This contribution has summarized and evaluated several experimental studies on modifying the substrate specificity of lipases.

Recent Development of Extremophilic Bacteria and Their Application in Biorefinery

The biorefining technology for biofuels and chemicals from lignocellulosic biomass has made great progress in the world. However, mobilization of laboratory research toward industrial setup needs to meet a series of criteria, including the selection of appropriate pretreatment technology, breakthrough in enzyme screening, pathway optimization, and production technology, etc. Extremophiles play an important role in biorefinery by providing novel metabolic pathways and catalytically stable/robust enzymes that are able to act as biocatalysts under harsh industrial conditions on their own. This review summarizes the potential application of thermophilic, psychrophilic alkaliphilic, acidophilic, and halophilic bacteria and extremozymes in the pretreatment, saccharification, fermentation, and lignin valorization process. Besides, the latest studies on the engineering bacteria of extremophiles using metabolic engineering and synthetic biology technologies for high-efficiency biofuel production are also introduced. Furthermore, this review explores the comprehensive application potential of extremophiles and extremozymes in biorefinery, which is partly due to their specificity and efficiency, and points out the necessity of accelerating the commercialization of extremozymes.

Measuring Interactions Between Tau and Aggregation Inducers with Single-Molecule Förster Resonance Energy Transfer

Tau is an intrinsically disordered protein implicated in the pathogenesis of Alzheimer's disease and other neurodegenerative disorders. Here we describe the application of single-molecule Förster resonance energy transfer (smFRET) for the characterization of the interactions between tau and polyphosphate, an intracellular polymer that accelerates tau aggregation. We describe the design of tau constructs, purification and fluorescent labeling of tau, and details of acquisition and analysis of smFRET data. The protocols provided here outline an approach that may be applied to the study of other intrinsically disordered proteins and their binding partners.

Substrate-imprinted docking of Agrobacterium tumefaciens uronate dehydrogenase for increased substrate selectivity

Agrobacterium tumefaciens uronate dehydrogenase (AtuUdh) belongs to the short-chain dehydrogenase superfamily, specifically those acting on the CH-OH group of donor with NAD⁺ or NADP⁺ as acceptor. It is apparently required for the production of D-glucaric acid. AtuUdh-catalyzed reaction is reversible with dual substrate-specific activity (D-galacturonic acid and D-glucuronic acid) in nature. In our study, 34 mutants were pre-screened from 155 mutants generated from AtuUdh (wild-type) and selected 10 structurally stable mutants with increased substrate selectivity. The specificity, efficiency, and selectivity of these mutants for different substrates and cofactors were predicted from 121 docked models using a substrate-imprinted docking approach. Q14F, S36L, and S75T mutants have shown a high binding affinity to D-glucuronic acid and its substrate intermediates such as D-glucaro-1,4-lactone and D-glucaro-1,5-lactone. These mutants exhibited a low binding affinity to the substrate and cofactor required for D-galactaric acid. D34S, N112E and S165E mutants found to show a high selectivity of D-galacturonic acid and its substrate intermediates for D-galactaric acid production. Ser75, Ser165, and Arg174 are active residues playing an imperative role in the substrate selectivity and also contributed in the conjecture the mechanism of transition state stabilization catalyzed by AtuUdh mutants. The present approach was used to reveal the substrate binding mechanism of AtuUdh mutants for a better understanding of the structural basis for selectivity and function.

Rational engineering of a malate dehydrogenase for microbial production of 2,4-dihydroxybutyric acid via homoserine pathway

A synthetic pathway for the production of 2,4-dihydroxybutyric acid from homoserine (HMS), composed of two consecutive enzymatic reaction steps has been recently reported. An important step in this pathway consists in the reduction in 2-keto-4-hydroxybutyrate (OHB) into (l)-dihydroxybutyrate (DHB), by an enzyme with OHB reductase activity. In the present study, we used a rational approach to engineer an OHB reductase by using the cytosolic (l)-malate dehydrogenase from Escherichia coli (Ec-Mdh) as the template enzyme. Structural analysis of (l)-malate dehydrogenase and (l)-lactate dehydrogenase enzymes acting on sterically cognate substrates revealed key residues in the substrate and co-substrate-binding sites responsible for substrate discrimination. Accordingly, amino acid changes were introduced in a stepwise manner into these regions of the protein. This rational engineering led to the production of an Ec-Mdh-5E variant (I12V/R81A/M85E/G179D/D86S) with a turnover number (kcat) on OHB that was increased by more than 2000-fold (from 0.03 up to 65.0 s−1), which turned out to be 7-fold higher than that on its natural substrate oxaloacetate. Further kinetic analysis revealed the engineered enzyme to possess comparable catalytic efficiencies (kcat/Km) between natural and synthetic OHB substrates (84 and 31 s−1 mM−1, respectively). Shake-flask cultivation of a HMS-overproducing E. coli strain expressing this improved OHB reductase together with a transaminase encoded by aspC able to convert HMS to OHB resulted in 89% increased DHB production as compared with our previous report using a E. coli host strain expressing an OHB reductase derived from the lactate dehydrogenase A of Lactococcus lactis.

Enhanced Mutant Screening in One-step PCR-based Multiple Site-directed Plasmid Mutagenesis by Introduction of Silent Restriction Sites for Structural and Functional Study of Proteins

Site-directed mutagenesis (SDM) has been widely used for studying the structure and function of proteins. A one-step polymerase chain reaction (PCR)-based multiple site-directed plasmid mutagenesis method with extended non-overlapping sequence at the 3′ end of the primer increases the PCR amplification efficiency and the capacity of multi-site mutagenesis. Here, we introduced silent restriction sites in the primers used in this PCR-based SDM method by utilizing SDM-Assist software to generate mutants of Helicobacter pylori neutrophil-activating protein (HP-NAP), whose gene has low GC content. The HP-NAP mutants were efficiently generated by this modified mutagenesis method and quickly identified by a simple restriction digest due to the presence of the silent restriction site. This modified PCR-based SDM method with the introduction of a silent restriction site on the primer is efficient for generation and identification of mutations in the gene of interest.

3D deep convolutional neural networks for amino acid environment similarity analysis

Background

Central to protein biology is the understanding of how structural elements give rise to observed function. The surfeit of protein structural data enables development of computational methods to systematically derive rules governing structural-functional relationships. However, performance of these methods depends critically on the choice of protein structural representation. Most current methods rely on features that are manually selected based on knowledge about protein structures. These are often general-purpose but not optimized for the specific application of interest.

In this paper, we present a general framework that applies 3D convolutional neural network (3DCNN) technology to structure-based protein analysis. The framework automatically extracts task-specific features from the raw atom distribution, driven by supervised labels. As a pilot study, we use our network to analyze local protein microenvironments surrounding the 20 amino acids, and predict the amino acids most compatible with environments within a protein structure. To further validate the power of our method, we construct two amino acid substitution matrices from the prediction statistics and use them to predict effects of mutations in T4 lysozyme structures.

Results

Our deep 3DCNN achieves a two-fold increase in prediction accuracy compared to models that employ conventional hand-engineered features and successfully recapitulates known information about similar and different microenvironments. Models built from our predictions and substitution matrices achieve an 85% accuracy predicting outcomes of the T4 lysozyme mutation variants. Our substitution matrices contain rich information relevant to mutation analysis compared to well-established substitution matrices. Finally, we present a visualization method to inspect the individual contributions of each atom to the classification decisions.

Conclusions

End-to-end trained deep learning networks consistently outperform methods using hand-engineered features, suggesting that the 3DCNN framework is well suited for analysis of protein microenvironments and may be useful for other protein structural analyses.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-017-1702-0) contains supplementary material, which is available to authorized users.

The mechanism of water/ion exchange at a protein surface: a weakly bound chloride in Helicobacter pylori apoflavodoxin

Binding/unbinding of small ligands, such as ions, to/from proteins influences biochemical processes such as protein folding, enzyme catalysis or protein/ligand recognition. We have investigated the mechanism of chloride/water exchange at a protein surface (that of the apoflavodoxin from Helicobacter pylori) using classical all-atom molecular dynamics simulations. They reveal a variety of chloride exit routes and residence times; the latter is related to specific coordination modes of the anion. The role of solvent molecules in the mechanism of chloride unbinding has been studied in detail. We see no temporary increase in chloride coordination along the release process. Instead, the coordination of new water molecules takes place in most cases after the chloride/protein atom release event has begun. Moreover, the distribution function of water entrance events into the first chloride solvation shell peaks after chloride protein atom dissociation events. All these observations together seem to indicate that water molecules simply fill the vacancies left by the previously coordinating protein residues. We thus propose a step-by-step dissociation pathway in which protein/chloride interactions gradually break down before new water molecules progressively fill the vacant positions left by protein atoms. As observed for other systems, water molecules associated with bound chloride or with protein atoms have longer residence times than those bound to the free anion. The implications of the exchange mechanism proposed for the binding of the FMN (Flavin Mononucleotide) protein cofactor are discussed.

An efficient method for multiple site-directed mutagenesis using type IIs restriction enzymes

Site-directed mutagenesis (SDM) methods are very important in modern molecular biology, biochemistry, and protein engineering. Here, we present a novel SDM method that can be used for multiple mutation generation using type IIs restriction enzymes. This approach is faster and more convenient than the overlap polymerase chain reaction (PCR) method due to its having fewer reaction steps and being cheaper than, but as convenient as, enzymatic assembly. We illustrate the usefulness of our method by introducing three mutations into the bacterial Streptococcus thermophilus Cas9 (bStCas9) gene, converting the humanized S. thermophilus Cas9 (hStCas9) gene into nuclease dead or H847A nickase mutants and generating sunnyTALEN mutagenesis from a wild-type TALEN backbone.

Overcoming inefficient cellobiose fermentation by cellobiose phosphorylase in the presence of xylose

BACKGROUND

Cellobiose and xylose co-fermentation holds promise for efficiently producing biofuels from plant biomass. Cellobiose phosphorylase (CBP), an intracellular enzyme generally found in anaerobic bacteria, cleaves cellobiose to glucose and glucose-1-phosphate, providing energetic advantages under the anaerobic conditions required for large-scale biofuel production. However, the efficiency of CBP to cleave cellobiose in the presence of xylose is unknown. This study investigated the effect of xylose on anaerobic CBP-mediated cellobiose fermentation by Saccharomyces cerevisiae.

RESULTS

Yeast capable of fermenting cellobiose by the CBP pathway consumed cellobiose and produced ethanol at rates 61% and 42% slower, respectively, in the presence of xylose than in its absence. The system generated significant amounts of the byproduct 4-O-β-d-glucopyranosyl-d-xylose (GX), produced by CBP from glucose-1-phosphate and xylose. In vitro competition assays identified xylose as a mixed-inhibitor for cellobiose phosphorylase activity. The negative effects of xylose were effectively relieved by efficient cellobiose and xylose co-utilization. GX was also shown to be a substrate for cleavage by an intracellular β-glucosidase.

CONCLUSIONS

Xylose exerted negative impacts on CBP-mediated cellobiose fermentation by acting as a substrate for GX byproduct formation and a mixed-inhibitor for cellobiose phosphorylase activity. Future efforts will require efficient xylose utilization, GX cleavage by a β-glucosidase, and/or a CBP with improved substrate specificity to overcome the negative impacts of xylose on CBP in cellobiose and xylose co-fermentation.

Random insertional-deletional strand exchange mutagenesis (RAISE): a simple method for generating random insertion and deletion mutations

Although proteins can be artificially improved by random insertion and deletion mutagenesis methods, these procedures are technically difficult. Here we describe a simple method called random insertional-deletional strand exchange mutagenesis (RAISE). This method is based on gene shuffling and can be used to introduce a wide variety of insertions, deletions, and substitutions. RAISE involves three steps: DNA fragmentation, attachment of a random short sequence, and reconstruction. This yields unique mutants and can be a powerful technique for protein engineering.

Fungal Beta-glucosidases: a bottleneck in industrial use of lignocellulosic materials

Profitable biomass conversion processes are highly dependent on the use of efficient enzymes for lignocellulose degradation. Among the cellulose degrading enzymes, beta-glucosidases are essential for efficient hydrolysis of cellulosic biomass as they relieve the inhibition of the cellobiohydrolases and endoglucanases by reducing cellobiose accumulation. In this review, we discuss the important role beta-glucosidases play in complex biomass hydrolysis and how they create a bottleneck in industrial use of lignocellulosic materials. An efficient beta-glucosidase facilitates hydrolysis at specified process conditions, and key points to consider in this respect are hydrolysis rate, inhibitors, and stability. Product inhibition impairing yields, thermal inactivation of enzymes, and the high cost of enzyme production are the main obstacles to commercial cellulose hydrolysis. Therefore, this sets the stage in the search for better alternatives to the currently available enzyme preparations either by improving known or screening for new beta-glucosidases.

SOMA: a single oligonucleotide mutagenesis and cloning approach

Modern biology research requires simple techniques for efficient and restriction site-independent modification of genetic material. Classical cloning and mutagenesis strategies are limited by their dependency on restriction sites and the use of complementary primer pairs. Here, we describe the Single Oligonucleotide Mutagenesis and Cloning Approach (SOMA) that is independent of restriction sites and only requires a single mutagenic oligonucleotide to modify a plasmid. We demonstrate the broad application spectrum of SOMA with three examples. First, we present a novel plasmid that in a standardized and rapid fashion can be used as a template for SOMA to generate GFP-reporters. We successfully use such a reporter to assess the in vivo knock-down quality of morpholinos in Xenopus laevis embryos. In a second example, we show how to use a SOMA-based protocol for restriction-site independent cloning to generate chimeric proteins by domain swapping between the two human hRMD5a and hRMD5b isoforms. Last, we show that SOMA simplifies the generation of randomized single-site mutagenized gene libraries. As an example we random-mutagenize a single codon affecting the catalytic activity of the yeast Ssy5 endoprotease and identify a spectrum of tolerated and non-tolerated substitutions. Thus, SOMA represents a highly efficient alternative to classical cloning and mutagenesis strategies.

Promiscuity-based enzyme selection for rational directed evolution experiments

Error-prone PCR, DNA shuffling, and saturation mutagenesis are techniques used by protein engineers to mimic the natural "evolutionary walk" that conjures new enzymes. Rational design is often critical in efforts to accelerate this "random walk" into a "resolute sprint." Previous work by our group established a computational method for detecting active sites (CLASP) based on spatial and electrostatic properties of catalytic residues, and a method to quantify promiscuous activities in a wide range of proteins (PROMISE). Here, we describe a rational design flow (DECAAF) based on the PROMISE methodology to choose a protein which, when subjected to minimal mutations, is most likely to mirror the scaffold of a desired enzymatic function. Modeling the diversity in catalytic sites and providing precise user control to guide the search is a key goal of our implementation. The flow details have been worked out in a real-life example to select a plant protein to substitute for human neutrophil elastase in a chimeric antimicrobial enzyme designed to bolster the innate immune defense system in plants.

Alteration of substrate specificities of thermophilic α/β hydrolases through domain swapping and domain interface optimization

Protein domain swapping is an efficient way in protein functional evolution in vivo and also has been proved to be an effective strategy to modify the function of the multi-domain proteins in vitro. To explore the potentials of domain swapping for alteration of the enzyme substrate specificities and the structure-function relationship of the homologous proteins, here we constructed two chimeras from a pair of thermophilic members of the α/β hydrolase superfamily by grafting their functional domains to the conserved α/β hydrolase fold domain: a carboxylesterase from Archaeoglobus fulgidus (AFEST) and an acylpeptide hydrolase from Aeropyrum pernix K1 (apAPH) and explored their activities on hydrolyze p-nitrophenyl esters (pNP) with different acyl chain lengths. We took two approaches to reduce the crossover disruptions when creating the chimeras: chose the residue which involved in the least contacts as the splicing site and optimized the newly formed domain interfaces of the chimeras by site-directed mutations. Characterizations of AAM7 and PAR showed that these chimeras inherited the thermophilic property of both parents. In the aspect of substrate specificity, AAM7 and PAR showed highest activity towards short chain length substrate pNPC4 and middle chain length substrate pNPC8, similar to parent AFEST and apAPH, respectively. These results suggested that the substrate-binding domain is the dominant factor on enzyme substrate specificity, and the optimization of the newly formed domain interface is an important guarantee for successful domain swapping of proteins with low-sequence homology.

An automated flow for directed evolution based on detection of promiscuous scaffolds using spatial and electrostatic properties of catalytic residues

The aspiration to mimic and accelerate natural evolution has fueled interest in directed evolution experiments, which endow or enhance functionality in enzymes. Barring a few de novo approaches, most methods take a template protein having the desired activity, known active site residues and structure, and proceed to select a target protein which has a pre-existing scaffold congruent to the template motif. Previously, we have established a computational method (CLASP) based on spatial and electrostatic properties to detect active sites, and a method to quantify promiscuity in proteins. We exploit the prospect of promiscuous active sites to serve as the starting point for directed evolution and present a method to select a target protein which possesses a significant partial match with the template scaffold (DECAAF). A library of partial motifs, constructed from the active site residues of the template protein, is used to rank a set of target proteins based on maximal significant matches with the partial motifs, and cull out the best candidate from the reduced set as the target protein. Considering the scenario where this ‘incubator’ protein lacks activity, we identify mutations in the target protein that will mirror the template motif by superimposing the target and template protein based on the partial match. Using this superimposition technique, we analyzed the less than expected gain of activity achieved by an attempt to induce β-lactamase activity in a penicillin binding protein (PBP) (PBP-A from T. elongatus), and attributed this to steric hindrance from neighboring residues. We also propose mutations in PBP-5 from E. coli, which does not have similar steric constraints. The flow details have been worked out in an example which aims to select a substitute protein for human neutrophil elastase, preferably related to grapevines, in a chimeric anti-microbial enzyme which bolsters the innate immune defense system of grapevines.

Focused directed evolution of pentaerythritol tetranitrate reductase by using automated anaerobic kinetic screening of site-saturated libraries

This work describes the development of an automated robotic platform for the rapid screening of enzyme variants generated from directed evolution studies of pentraerythritol tetranitrate (PETN) reductase, a target for industrial biocatalysis. By using a 96-well format, near pure enzyme was recovered and was suitable for high throughput kinetic assays; this enabled rapid screening for improved and new activities from libraries of enzyme variants. Initial characterisation of several single site-saturation libraries targeted at active site residues of PETN reductase, are described. Two mutants (T26S and W102F) were shown to have switched in substrate enantiopreference against substrates (E)-2-aryl-1-nitropropene and α-methyl-trans-cinnamaldehyde, respectively, with an increase in ee (62 % (R) for W102F). In addition, the detection of mutants with weak activity against α,β-unsaturated carboxylic acid substrates showed progress in the expansion of the substrate range of PETN reductase. These methods can readily be adapted for rapid evolution of enzyme variants with other oxidoreductase enzymes.

Novel fluorescence-assisted whole-cell assay for engineering and characterization of proteases and their substrates

We have developed a sensitive and highly efficient whole-cell methodology for quantitative analysis and screening of protease activity in vivo. The method is based on the ability of a genetically encoded protease to rescue a coexpressed short-lived fluorescent substrate reporter from cytoplasmic degradation and thereby confer increased whole-cell fluorescence in proportion to the protease's apparent activity in the Escherichia coli cytoplasm. We demonstrated that this system can reveal differences in the efficiency with which tobacco etch virus (TEV) protease processes different substrate peptides. In addition, when analyzing E. coli cells expressing TEV protease variants that differed in terms of their in vivo solubility, cells containing the most-soluble protease variant exhibited the highest fluorescence intensity. Furthermore, flow cytometry screening allowed for enrichment and subsequent identification of an optimal substrate peptide and protease variant from a large excess of cells expressing suboptimal variants (1:100,000). Two rounds of cell sorting resulted in a 69,000-fold enrichment and a 22,000-fold enrichment of the superior substrate peptide and protease variant, respectively. Our approach presents a new promising path forward for high-throughput substrate profiling of proteases, engineering of novel protease variants with desired properties (e.g., altered substrate specificity and improved solubility and activity), and identification of protease inhibitors.

Dissection of structure and function of the N-terminal domain of mouse DNMT1 using regional frame-shift mutagenesis

Deletion analysis of mouse DNMT1, the primary maintenance methyltransferase in mammals, showed that most of the N-terminal regulatory domain (amino acid residues 412-1112) is required for its enzymatic activity. Although analysis of deletion mutants helps to identify regions of a protein sequence required for a particular activity, amino acid deletions can have drastic effects on protein structure and/or stability. Alternative approaches represented by rational design and directed evolution are resource demanding, and require high-throughput selection or screening systems. We developed Regional Frame-shift Mutagenesis (RFM) as a new approach to identify portions required for the methyltransferase activity of DNMT1 within the N-terminal 89-905 amino acids. In this method, a short stretch of amino acids in the wild-type protein is converted to a different amino acid sequence. The resultant mutant protein retains the same amino acid length as the wild type, thereby reducing physical constrains on normal folding of the mutant protein. Using RFM, we identified three small regions in the amino-terminal one-third of the protein that are essential for DNMT1 function. Two of these regions (amino acids 124-160 and 341-368) border a large disordered region that regulates maintenance methylation activity. This organization of DNMT1's amino terminus suggests that the borders define the position of the disordered region within the DNMT1 protein, which in turn allows for its proper function.

Reversed enantioselectivity of diisopropyl fluorophosphatase against organophosphorus nerve agents by rational design

Diisopropyl fluorophosphatase (DFPase) from Loligo vulgaris is an efficient and robust biocatalyst for the hydrolysis of a range of highly toxic organophosphorus compounds including the nerve agents sarin, soman, and cyclosarin. In contrast to the substrate diisopropyl fluorophosphate (DFP) the nerve agents possess an asymmetric phosphorus atom, which leads to pairs of enantiomers that display markedly different toxicities. Wild-type DFPase prefers the less toxic stereoisomers of the substrates which leads to slower detoxification despite rapid hydrolysis. Enzyme engineering efforts based on rational design yielded two quadruple enzyme mutants with reversed enantioselectivity and overall enhanced activity against tested nerve agents. The reversed stereochemical preference is explained through modeling studies and the crystal structures of the two mutants. Using the engineered mutants in combination with wild-type DFPase leads to significantly enhanced activity and detoxification, which is especially important for personal decontamination. Our findings may also be of relevance for the structurally related enzyme human paraoxonase (PON), which is of considerable interest as a potential catalytic in vivo scavenger in case of organophosphorus poisoning.

"Fuzzy oil drop" model applied to individual small proteins built of 70 amino acids

The proteins composed of short polypeptides (about 70 amino acid residues) representing the following functional groups (according to PDB notation): growth hormones, serine protease inhibitors, antifreeze proteins, chaperones and proteins of unknown function, were selected for structural and functional analysis. Classification based on the distribution of hydrophobicity in terms of deficiency/excess as the measure of structural and functional specificity is presented. The experimentally observed distribution of hydrophobicity in the protein body is compared to the idealized one expressed by a three-dimensional Gauss function. The differences between these two distributions reveal the specificity of structural/functional characteristics of the protein. The residues of hydrophobicity deficiency versus the idealized distribution are assumed to indicate cavities with the potential to bind ligands, while the residues of hydrophobicity excess are interpreted as potentially participating in protein-protein complexation. The distribution of hydrophobicity irregularity seems to be specific for particular structures and functions of proteins. A comparative analysis of such profiles is carried out to identify the potential biological activity of proteins of unknown function.

Simple and efficient site-directed mutagenesis using two single-primer reactions in parallel to generate mutants for protein structure-function studies

BACKGROUND

In protein engineering, site-directed mutagenesis methods are used to generate DNA sequences with mutated codons, insertions or deletions. In a widely used method, mutations are generated by PCR using a pair of oligonucleotide primers designed with mismatching nucleotides at the center of the primers. In this method, primer-primer annealing may prevent cloning of mutant cDNAs. To circumvent this problem we developed an alternative procedure that does not use forward-reverse primer pair in the same reaction.

RESULTS

In initial studies we used a double-primer PCR mutagenesis protocol, but sequencing of products showed tandem repeats of primer in cloned DNA. We developed an alternative method that starts with two Single-Primer Reactions IN Parallel using high-fidelity Pwo DNA polymerase. Thus, we call the method with the acronym SPRINP. The SPRINP reactions are then combined, denatured at 95 degrees C, and slowly cooled, promoting random annealing of the parental DNA and the newly synthesized strands. The products are digested with DpnI that digests methylated parental strands, and then transformed into E. coli. Using this method we generated >40 mutants in cDNAs coding for human Epithelial Na+ Channel (ENaC) subunits. The method has been tested for 1-3 bp codon mutation and insertion of a 27 bp epitope tag into cDNAs.

CONCLUSION

The SPRINP mutagenesis protocol yields mutants reliably and with high fidelity. The use of a single primer in each amplification reaction increases the probability of success of primers relative to previous methods employing a forward and reverse primer pair in the same reaction.

Directed evolution of aldolases for exploitation in synthetic organic chemistry

This review focuses on the directed evolution of aldolases with synthetically useful properties. Directed evolution has been used to address a number of limitations associated with the use of wild-type aldolases as catalysts in synthetic organic chemistry. The generation of aldolase enzymes with a modified or expanded substrate repertoire is described. Particular emphasis is placed on the directed evolution of aldolases with modified stereochemical properties: such enzymes can be useful catalysts in the stereoselective synthesis of biologically active small molecules. The review also describes some of the fundamental insights into mechanistic enzymology that directed evolution can provide.

Saturation mutagenesis of Asn152 reveals a substrate selectivity switch in P99 cephalosporinase

In class C beta-lactamases, the strictly conserved Asn152 forms part of an extended active-site hydrogen-bonding network. To probe its role in catalysis, all 19 mutants of Enterobacter cloacae P99 cephalosporinase Asn152 were simultaneously constructed and screened in Escherichia coli for their in vivo activity. The screen identified the previously uncharacterized mutants Asn152Ser, Asn152Thr, and Asn152Gly, which possess significant activity and altered substrate selectivity. In vitro measurement of Michaelis-Menten kinetic constants revealed that the Asn152Ser mutation causes a selectivity switch for penicillin G versus cefoxitin. Asn152Thr showed a 63-fold increase in k (cat) for oxacillin, a slow substrate for wild-type cephalosporinase. The results contribute to a growing body of data showing that mutation of highly conserved residues in the active site can result in substrate selectivity changes. The library screening method presented here would be applicable to substrate selectivity determination in other readily screenable enzymes.

Rational redesign of the 4-chlorobenzoate binding site of 4-chlorobenzoate: coenzyme a ligase for expanded substrate range

Environmental aromatic acids are transformed to chemical energy in bacteria that possess the requisite secondary pathways. Some of these pathways rely on the activation of the aromatic acid by coenzyme A (CoA) thioesterification catalyzed by an aromatic acid: CoA ligase. Adaptation of such pathways to the bioremediation of man-made pollutants such as polychlorinated biphenyl (PCB) and dichlorodiphenyltrichloroethane (DDT) requires that the chlorinated benzoic acid byproduct that is formed be able to be eliminated by further degradation. To take advantage of natural benzoic acid degrading pathways requiring initial ring activation by thioesterification, the pathway aromatic acid:CoA ligase must be an effective catalyst with the chlorinated benzoic acid. This study, which focuses on the 4-chlorobenzoate:CoA ligase (CBL) of the 4-monochlorobiphenyl degrading bacterium Alcaligenes sp. strain ALP83, was carried out to determine if the 4-chlorobenzoate binding site of this enzyme can be transformed by rational design to recognize the chlorobenzoic acids formed in the course of breakdown of other environmental PCB congeners. The fundamental question addressed in this study is whether it is possible to add or subtract space from the substrate-binding pocket of this ligase (to complement the topology of the unnatural aromatic substrate) without causing disruption of the ligase catalytic machinery. Herein, we report the results of a substrate specificity analysis that, when interpreted within the context of the X-ray crystal structures, set the stage for the rational design of the ligase for thioesterification of two PCB-derived chlorobenzoic acids. The ligase was first optimized to catalyze CoA thioesterification of 3,4-dichlorobenzoic acid, a poor substrate, by truncating Ile303, a large hydrophobic residue that packs against the ring meta-C(H) group. The structural basis for the approximately 100-fold enhancement in the rate of 3,4-dichlorobenzoate thioesterification catalyzed by the I303A and I303G CBL mutants was validated by determination of the crystal structure of the 3,4-dichlorobenzoate-bound enzymes. Determinations of the structures of I303 mutant complexes of 3-chlorobenzoate, a very poor substrate, revealed nonproductive binding as a result of the inability of the substrate ring C(4)H group to fill the pocket that binds the C(4)Cl group of the native substrate. The C(4)Cl pocket of the CBL I303A mutant was then reduced in size by strategic amino acid replacement. A 54-fold improvement in catalytic efficiency was observed for the CBL F184W/I303A/V209T triple mutant. The results of this investigation are interpreted as evidence that the plasticity of the ligase catalytic scaffold is sufficient to allow expansion of substrate range by rational design. The combination of structural and kinetic analyses of the constructed mutants proved to be an effective approach to engineering the ligase for novel substrates.

Minimalist active-site redesign: teaching old enzymes new tricks

Although nature evolves its catalysts over millions of years, enzyme engineers try to do it a bit faster. Enzyme active sites provide highly optimized microenvironments for the catalysis of biologically useful chemical transformations. Consequently, changes at these centers can have large effects on enzyme activity. The prediction and control of these effects provides a promising way to access new functions. The development of methods and strategies to explore the untapped catalytic potential of natural enzyme scaffolds has been pushed by the increasing demand for industrial biocatalysts. This Review describes the use of minimal modifications at enzyme active sites to expand their catalytic repertoires, including targeted mutagenesis and the addition of new reactive functionalities. Often, a novel activity can be obtained with only a single point mutation. The many successful examples of active-site engineering through minimal mutations give useful insights into enzyme evolution and open new avenues in biocatalyst research.

Phospholipases and their industrial applications

Phospholipids are present in all living organisms. They are a major component of all biological membranes, along with glycolipids and cholesterol. Enzymes aimed at modifying phospholipids, namely, phospholipases, are consequently widespread in nature, playing very diverse roles from aggression in snake venom to signal transduction and digestion in humans. In this review, we give a general overview of phospholipases A1, A2, C and D from a sequence and structural perspective and their industrial application. The use of phospholipases in industrial processes has grown hand-in-hand with our ability to clone and express the genes in microbial hosts with commercially attractive amounts. Further, the use in industrial processes is increasing by optimizing the enzymes by protein engineering. Here, we give a perspective on the work done to date to express phospholipases in heterologous hosts and the efforts to optimize them by protein engineering. We will draw attention to the industrial processes where phospholipases play a key role and show how the use of a phospholipase for oil degumming leads to substantial environmental benefits. This illustrates a very general trend: the use of enzymes as an alternative to chemical processes to make products often provides a cleaner solution for the industrial processes. In a world with great demands on non-polluting, energy saving technical solutions--white biotechnology is a strong alternative.

Cysteine metabolism in Legionella pneumophila: characterization of an L-cystine-utilizing mutant

Growth of Legionella pneumophila on buffered charcoal-yeast extract (BCYE) medium is dependent on L-cysteine (but not L-cystine), which is added in excess over what is required for nutrition. We investigated the biochemical and genetic bases for this unusual requirement and determined that much of the L-cysteine in BCYE medium is rapidly oxidized to L-cystine and is unavailable to the bacteria. Analysis of cysteine consumption during bacterial growth indicated that of the 11% consumed, 3.85% (approximately 0.1 mM) was incorporated into biomass. The activities of two key cysteine biosynthetic enzymes (serine acetyltransferase and cysteine synthase) were not detected in cell extracts of L. pneumophila, and the respective genes were not present in the genome sequences, confirming cysteine auxotrophy. Kinetic studies identified two energy-dependent cysteine transporters, one with high affinity (apparent Km, 3.29 microM) and the other with low affinity (apparent Km, 93 microM), each of which was inhibited by the uncoupling agent carbonyl cyanide m-chlorophenylhydrazone. Cystine was not transported by L. pneumophila; however, a mutant strain capable of growth on L-cystine (CYS1 mutant) transported L-cystine with similar kinetics (Km, 4.4 microM and 90 microM). Based on the bipartite kinetics, requirement for proton motive force, and inhibitor studies, we suggest that a high-affinity periplasmic binding protein and a major facilitator/symporter (low affinity) mediate uptake. The latter most likely is functional at high cysteine concentrations and most likely displays altered substrate specificity in the CYS-1 mutant. Our studies provide biochemical evidence to support a general view that L. pneumophila is restricted to an intracellular lifestyle in natural environments by an inability to utilize cystine, which most likely ensures that the dormant cyst-like transmissible forms do not germinate outside suitable protozoan hosts.

RAISE: a simple and novel method of generating random insertion and deletion mutations

Although proteins may be artificially improved by random insertion and deletion mutagenesis methods, these procedures are technically difficult, and the mutations introduced are no more variable than those introduced by the introduction of random point mutations. We describe here a three-step method called RAISE, which is based on gene shuffling and can introduce a wide variety of insertions, deletions and substitutions. To test the efficacy of this method, we used it to mutate TEM beta-lactamase to generate improved antibiotic resistance. Some unique insertion or deletion mutations were observed in the improved mutants, some of which caused higher activities than point mutations. Our findings indicate that the RAISE method can yield unique mutants and may be a powerful technique of protein engineering.