Effects on interaction kinetics of mutations at the VH-VL interface of Fabs depend on the structural context

Defining and Studying B Cell Receptor and TCR Interactions

BCRs (Abs) and TCRs (or adaptive immune receptors [AIRs]) are the means by which the adaptive immune system recognizes foreign and self-antigens, playing an integral part in host defense, as well as the emergence of autoimmunity. Importantly, the interaction between AIRs and their cognate Ags defies a simple key-in-lock paradigm and is instead a complex many-to-many mapping between an individual's massively diverse AIR repertoire, and a similarly diverse antigenic space. Understanding how adaptive immunity balances specificity with epitopic coverage is a key challenge for the field, and terms such as broad specificity, cross-reactivity, and polyreactivity remain ill-defined and are used inconsistently. In this Immunology Notes and Resources article, a group of experimental, structural, and computational immunologists define commonly used terms associated with AIR binding, describe methodologies to study these binding modes, as well as highlight the implications of these different binding modes for therapeutic design.

abYpap: improvements to the prediction of antibody VH/VL packing using gradient boosted regression

The Fv region of the antibody (comprising VH and VL domains) is the area responsible for target binding and thus the antibody's specificity. The orientation, or packing, of these two domains relative to each other influences the topography of the Fv region, and therefore can influence the antibody's binding affinity. We present abYpap, an improved method for predicting the packing angle between the VH and VL domains. With the large data set now available, we were able to expand greatly the number of features that could be used compared with our previous work. The machine-learning model was tuned for improved performance using 37 selected residues (previously 13) and also by including the lengths of the most variable 'complementarity determining regions' (CDR-L1, CDR-L2 and CDR-H3). Our method shows large improvements from the previous version, and also against other modeling approaches, when predicting the packing angle.

Mutational fitness landscapes reveal genetic and structural improvement pathways for a vaccine-elicited HIV-1 broadly neutralizing antibody

Vaccine-based elicitation of broadly neutralizing antibodies holds great promise for preventing HIV-1 transmission. However, the key biophysical markers of improved antibody recognition remain uncertain in the diverse landscape of potential antibody mutation pathways, and a more complete understanding of anti-HIV-1 fusion peptide (FP) antibody development will accelerate rational vaccine designs. Here we survey the mutational landscape of the vaccine-elicited anti-FP antibody, vFP16.02, to determine the genetic, structural, and functional features associated with antibody improvement or fitness. Using site-saturation mutagenesis and yeast display functional screening, we found that 1% of possible single mutations improved HIV-1 envelope trimer (Env) affinity, but generally comprised rare somatic hypermutations that may not arise frequently in vivo. We observed that many single mutations in the vFP16.02 Fab could enhance affinity >1,000-fold against soluble FP, although affinity improvements against the HIV-1 trimer were more measured and rare. The most potent variants enhanced affinity to both soluble FP and Env, had mutations concentrated in antibody framework regions, and achieved up to 37% neutralization breadth compared to 28% neutralization of the template antibody. Altered heavy- and light-chain interface angles and conformational dynamics, as well as reduced Fab thermal stability, were associated with improved HIV-1 neutralization breadth and potency. We also observed parallel sets of mutations that enhanced viral neutralization through similar structural mechanisms. These data provide a quantitative understanding of the mutational landscape for vaccine-elicited FP-directed broadly neutralizing antibody and demonstrate that numerous antigen-distal framework mutations can improve antibody function by enhancing affinity simultaneously toward HIV-1 Env and FP.

In silico methods for design of biological therapeutics

It has been twenty years since the first rationally designed small molecule drug was introduced into the market. Since then, we have progressed from designing small molecules to designing biotherapeutics. This class of therapeutics includes designed proteins, peptides and nucleic acids that could more effectively combat drug resistance and even act in cases where the disease is caused because of a molecular deficiency. Computational methods are crucial in this design exercise and this review discusses the various elements of designing biotherapeutic proteins and peptides. Many of the techniques discussed here, such as the deterministic and stochastic design methods, are generally used in protein design. We have devoted special attention to the design of antibodies and vaccines. In addition to the methods for designing these molecules, we have included a comprehensive list of all biotherapeutics approved for clinical use. Also included is an overview of methods that predict the binding affinity, cell penetration ability, half-life, solubility, immunogenicity and toxicity of the designed therapeutics. Biotherapeutics are only going to grow in clinical importance and are set to herald a new generation of disease management and cure.

Determinants of the assembly and function of antibody variable domains

The antibody Fv module which binds antigen consists of the variable domains V_L and V_H. These exhibit a conserved ß-sheet structure and comprise highly variable loops (CDRs). Little is known about the contributions of the framework residues and CDRs to their association. We exchanged conserved interface residues as well as CDR loops and tested the effects on two Fvs interacting with moderate affinities (K_Ds of ~2.5 µM and ~6 µM). While for the rather instable domains, almost all mutations had a negative effect, the more stable domains tolerated a number of mutations of conserved interface residues. Of particular importance for Fv association are V_LP44 and V_HL45. In general, the exchange of conserved residues in the V_L/V_H interface did not have uniform effects on domain stability. Furthermore, the effects on association and antigen binding do not strictly correlate. In addition to the interface, the CDRs modulate the variable domain framework to a significant extent as shown by swap experiments. Our study reveals a complex interplay of domain stability, association and antigen binding including an unexpected strong mutual influence of the domain framework and the CDRs on stability/association on the one side and antigen binding on the other side.

Mutational landscape of antibody variable domains reveals a switch modulating the interdomain conformational dynamics and antigen binding

Somatic mutations within the antibody variable domains are critical to the immense capacity of the immune repertoire. Here, via a deep mutational scan, we dissect how mutations at all positions of the variable domains of a high-affinity anti-VEGF antibody G6.31 impact its antigen-binding function. The resulting mutational landscape demonstrates that large portions of antibody variable domain positions are open to mutation, and that beneficial mutations can be found throughout the variable domains. We determine the role of one antigen-distal light chain position 83, demonstrating that mutation at this site optimizes both antigen affinity and thermostability by modulating the interdomain conformational dynamics of the antigen-binding fragment. Furthermore, by analyzing a large number of human antibody sequences and structures, we demonstrate that somatic mutations occur frequently at position 83, with corresponding domain conformations observed for G6.31. Therefore, the modulation of interdomain dynamics represents an important mechanism during antibody maturation in vivo.

Computational Tools for Aiding Rational Antibody Design

Antibodies are a group of proteins responsible for mediating immune reactions in vertebrates. They are able to bind a variety of structural motifs on noxious molecules tagging them for elimination from the organism. As a result of their versatile binding properties, antibodies are currently one of the most important classes of biopharmaceuticals. In this chapter, we discuss how knowledge-based computational methods can aid experimentalists in the development of potent antibodies. When using common experimental methods for antibody development, we often know the sequence of an antibody that binds to our molecule, antigen, of interest. We may also have a structure or model of the antigen. In these cases, computational methods can help by both modeling the antibody and identifying the antibody-antigen contact residues. This information can then play a key role in the rational design of more potent antibodies.

Functional mapping of the anti-idiotypic antibody anti-TS1 scFv using site-directed mutagenesis and kinetic analysis

Recombinant antibodies may be engineered to obtain improved functional properties. Functional mapping of the residues in the binding surfaces is of importance for predicting alterations needed to yield the desired properties. In this investigation, 17 single mutation mutant single-chain variable fragments (scFvs) of the anti-idiotypic antibody anti-TS1 were generated in order to functionally map amino acid residues important for the interaction with its idiotype TS1. Residues in anti-TS1 determined to be very important for the interaction were identified, Y32L, K50L, K33H, and Y52H, and they were distributed adjacent to a centrally located hydrophobic area, and contributed extensively to the interaction energy (≥2.5 kcal/mol) in the interaction. Quantitative ELISA assays, BIAcore technologies and three-dimensional surface analysis by modeling were employed to visualize the consequences of the mutations. The expression levels varied between 2 - 1,800 nM as determined by ELISA. All the 17 scFvs displayed higher dissociation rates (60 - 1,300 times) and all but two of them also faster association rates (1.3 - 56 times). The decrease in affinity was determined to be 1.6 - 12,200 times. Two of the mutants displayed almost identical affinity with the wild type anti-TS1, but with a change in both association and dissociation rates. The present investigation demonstrates that it is possible to generate a large panorama of anti-idiotypic antibodies, and single out a few that might be of potential use for future clearing and pre-targeting purposes of idiotypic-anti-idiotypic interactions.

Generation and characterization of a scFv against recombinant coat protein of the geminivirus tomato leaf curl New Delhi virus

We report the establishment of a hybridoma cell line secreting the monoclonal antibody (mAb) HAV, which recognizes the coat (AV1) protein of tomato leaf curl New Delhi virus (ToLCNDV), a begomovirus. The cell line was obtained following immunization of mice with purified recombinant AV1 fused to glutathione S-transferase (GST). A single-chain variable fragment (scFv-SAV) was assembled from hybridoma cDNA, but sequence analysis revealed a single nucleotide deletion causing a frame shift that resulted in a 21-residue N-terminal truncation. The missing nucleotide was restored by in vitro site-directed mutagenesis to create scFv-RWAV. The binding properties of mAb HAV and the corresponding scFvs were characterized by western blot, ELISA and surface plasmon resonance spectroscopy. MAb HAV bound to AV1 with nanomolar affinity but reacted neither with the N-terminal region of the protein nor with the GST fusion partner. This suggested that the antibody recognized a linear epitope in a region of the coat protein that is conserved among begomoviruses. Both scFvs retained the antigen specificity of mAb HAV, although the dissociation rate constant of scFv-RWAV was tenfold greater than that of scFv-SAV, showing the importance of restoring the 21 N-terminal amino acids.

Energy-based analysis and prediction of the orientation between light- and heavy-chain antibody variable domains

Diversity in antibody structure is crucial to the ability of the adaptive immune system to recognize the tremendously diverse set of potential antigens. The diversity in structure is most apparent in the six hypervariable loops of the complementarity-determining regions. However, given that these loops occur at the interface of the heavy- and light-chain variable domains and form the antigen-binding site, the relative orientation of the heavy- and light-chain variable domains can create another source of structural diversity leading to changes in antigen binding. Here, we first reexamine the diversity of V(L):V(H) orientations in existing antibody crystal structures using 153 nonredundant sequences, demonstrating that the variation in V(L):V(H) orientation is greater than that expected from effects of crystal packing, antigen binding, or the presence of antibody constant regions and increases, on average, as sequence similarity decreases for residues in the interface between the domains. We developed a tool for predicting the relative orientations of the heavy- and light-chain variable domains using side-chain rotamer sampling in the interface and molecular-mechanics-based energy calculations. When using variable domain backbones from the crystal structures, the predicted orientation is very close (<1 A RMSD) to the crystallographically observed orientation in most cases, confirming that the V(L):V(H) orientation is determined by the antibody sequence and suggesting an approach to predicting the relative orientation of the variable domains when building homology models of antibodies. When applied to antibody homology models generated from templates with 55-75% sequence identity, we predict the V(L):V(H) orientation of 20 antibodies with an average/median RMSD of 2.1/1.6 A to the crystal structures.

Structural classification of CDR-H3 revisited: a lesson in antibody modeling

Among the six complementarity-determining regions (CDRs) in the variable domains of an antibody, the third CDR of the heavy chain (CDR-H3), which lies in the center of the antigen-binding site, plays a particularly important role in antigen recognition. CDR-H3 shows significant variability in its length, sequence, and structure. Although difficult, model building of this segment is the most critical step in antibody modeling. Since our first proposal of the "H3-rules," which classify CDR-H3 structure based on amino acid sequence, the number of experimentally determined antibody structures has increased. Here, we revise these H3-rules and propose an improved classification scheme for CDR-H3 structure modeling. In addition, we determine the common features of CDR-H3 in antibody drugs as well as discuss the concept of "antibody druggability," which can be applied as an indicator of antibody evaluation during drug discovery.

Critical contribution of VH-VL interaction to reshaping of an antibody: the case of humanization of anti-lysozyme antibody, HyHEL-10

To clarify the effects of humanizing a murine antibody on its specificity and affinity for its target, we examined the interaction between hen egg white lysozyme (HEL) and its antibody, HyHEL-10 variable domain fragment (Fv). We selected a human antibody framework sequence with high homology, grafted sequences of six complementarity-determining regions of murine HyHEL-10 onto the framework, and investigated the interactions between the mutant Fvs and HEL. Isothermal titration calorimetry indicated that the humanization led to 10-fold reduced affinity of the antibody for its target, due to an unfavorable entropy change. Two mutations together into the interface of the variable domains, however, led to complete recovery of antibody affinity and specificity for the target, due to reduction of the unfavorable entropy change. X-ray crystallography of the complex of humanized antibodies, including two mutants, with HEL demonstrated that the complexes had almost identical structures and also paratope and epitope residues were almost conserved, except for complementary association of variable domains. We conclude that adjustment of the interfacial structures of variable domains can contribute to the reversal of losses of affinity or specificity caused by humanization of murine antibodies, suggesting that appropriate association of variable domains is critical for humanization of murine antibodies without loss of function.

Trends in antibody sequence changes during the somatic hypermutation process

Probable germline gene sequences from thousands of aligned mature Ab sequences are inferred using simple computational matching to known V(D)J genes. Comparison of the germline to mature sequences in a structural region-dependent fashion allows insights into the methods that nature uses to mature Abs during the somatic hypermutation process. Four factors determine the residue type mutation patterns: biases in the germline, accessibility from single base permutations, location of mutation hotspots, and functional pressures during selection. Germline repertoires at positions that commonly contact the Ag are biased with tyrosine, serine, and tryptophan. These residue types have a high tendency to be present in mutation hotspot motifs, and their abundance is decreased during maturation by a net conversion to other types. The heavy use of tyrosines on mature Ab interfaces is thus a reflection of the germline composition rather than being due to selection during maturation. Potentially stabilizing changes such as increased proline usage and a small number of double cysteine mutations capable of forming disulfide bonds are ascribed to somatic hypermutation. Histidine is the only residue type for which usage increases in each of the interface, core, and surface regions. The net overall effect is a conversion from residue types that could provide nonspecific initial binding into a diversity of types that improve affinity and stability. Average mutation probabilities are approximately 4% for core residues, approximately 5% for surface residues, and approximately 12% for residues in common Ag-contacting positions, excepting the those coded by the D gene.

The role of interface framework residues in determining antibody V(H)/V(L) interaction strength and antigen-binding affinity

While many antibodies with strong antigen-binding affinity have stable variable regions with a strong antibody heavy chain variable region fragment (V(H))/antibody light chain variable region fragment (V(L)) interaction, the anti-lysozyme IgG HyHEL-10 has a fairly strong affinity, yet a very weak V(H)/V(L) interaction strength, in the absence of antigen. To investigate the possible relationship between antigen-binding affinity and V(H)/V(L) interaction strength, a novel phage display system that can switch two display modes was employed. We focused on the two framework region 2 regions of the HyHEL-10 V(H) and V(L), facing each other at the domain interface, and a combinatorial library was made in which each framework region 2 residue was mixed with that of D1.3, which has a far stronger V(H)/V(L) interaction. The phagemid library, encoding V(H) gene 7 and V(L) amber codon gene 9, was used to transform TG-1 (sup+), and the phages displaying functional variable regions were selected. The selected phages were then used to infect a nonsuppressing strain, and the culture supernatant containing V(H)-displaying phages and soluble V(L) fragment was used to evaluate the V(H)/V(L) interaction strength. The results clearly showed the existence of a key framework region 2 residue (H39) that strongly affects V(H)/V(L) interaction strength, and a marked positive correlation between the antigen-binding affinity and the V(H)/V(L) interaction, especially in the presence of a set of particular V(L) residues. The effect of the H39 mutation on the wild-type variable region was also confirmed by a SPR biosensor as a several-fold increase in antigen-binding affinity owing to an increased association rate, while a slight decrease was observed for the single-chain variable region.

Generation of a highly stable, internalizing anti-CD22 single-chain Fv fragment for targeting non-Hodgkin's lymphoma

The generation of a single chain Fv (scFv) fragment derived from the anti-CD22 monoclonal antibody LL2 resulted in a molecule with good antigen binding but very poor stability properties, thus hampering its clinical applicability. Here we report on the construction of an engineered LL2 scFv fragment by rational mutagenesis. The contribution of uncommon wild-type sequence residues for providing stability to the conserved common core structure of immunoglobulins was examined. Aided by computer homology modeling, 3 destabilizing residues within the core of the wild-type VH domain were identified. Owing to the conserved nature of the buried core structure, mutagenesis of these sites to respective consensus residues markedly stabilized the molecule but did not influence its antigen binding properties: the engineered scFv MJ-7 exhibited exceptional biophysical stability with a half-life not reached after 6 days of incubation in human serum at 37 degrees C, while fully retaining the epitope specificity of the monoclonal antibody, and antigen binding affinity of the wild-type scFv. Furthermore, both the monoclonal antibody LL2 and the engineered scFv fragment became fully internalized after only 30 min of incubation at 37 degrees C with CD22+ tumor cells. These properties predict scFv MJ-7 could become a novel powerful tool to selectively deliver cytotoxic agents to malignant CD22+ cells.

An improved model of association for VH-VL immunoglobulin domains: asymmetries between VH and VL in the packing of some interface residues

The antibody-binding site is formed as a result of the association between VH and VL domains. Several studies have shown that this association plays an important role in the mechanism of antigen-antibody interaction (Stanfield et al. Structure 1: 83-93, 1993). Considering this, we propose that variations in the VH-VL association are part of the diversification strategy of the antibody repertoires. Previously, a model of association for VH-VL domains based on geometrical characteristics of the packing at the interface was developed by Chothia et al. (J. Mol. Biol. 186: 61-663, 1985). This model includes a common association form for antibodies and a three-layer structure for the interface. In the present work, a complementary model is introduced to account for the general geometrical restrictions of the VH-VL interface, and particular arrangements related to the chemical properties or the side-chain orientations of participating residues. Groups of residues assume common side-chain orientations, which are apparently related to particular functions of different interface zones. Analyses of amino acid usage and network are in agreement with the side-chain orientation patterns. Based on these observations, a three-zone model has evolved to illuminate geometrical and functional restrictions acting over the VH-VL interface. Additionally, this study has revealed the asymmetrical relationships between VH and VL residues important for the association of the two domains.

Biosensor analysis of the molecular interactions of pentosan polysulfate and of sulfated glycosaminoglycans with immobilized elastase, hyaluronidase and lysozyme using surface plasmon resonance (SPR) technology

Pentosan polysulfate (NaPPS) and chondroitin sulfates (ChSs) have recently been shown to exhibit both symptom and disease modifying activities in osteoarthritis (OA), but their respective mechanisms of action are still the subject of conjecture. Excessive catabolism of joint articular cartilage is considered to be responsible for the initiation and progression of OA but the abilities of these drugs to mitigate this process has received only limited attention. Human neutrophil elastase (HNE) is a proteinase, which can degrade the collagens and proteoglycans (PGs) of the cartilage directly or indirectly by activating latent matrix metalloproteinases. Hyaluronidase (HAase) is an endoglycosidase, which degrades glycosaminoglycans including hyaluronan, which provides the aggregating component of the PG aggrecan complex. In the present study the molecular interactions between the NaPPS, ChSs and some other sulfated polysaccharides with immobilized HNE, HAase or lysozyme (a cationic protein implicated in PG metabolism) were studied using a SPR biosensor device-BIAcore2000. The above three enzymes were covalently immobilized to a biosensor chip CM5 separately using amine coupling. The binding affinity of each sulfated polysaccharide and the kinetics of NaPPS over the concentration range of 0.3-5.0 microg/ml were determined. The inhibition of HNE by the sulfated polysaccharides as determined using the synthetic substrate succinyl-Ala-Ala-Val-nitroanilide (SAAVNA) in a functional assay was compared with their respective binding affinities for this proteinase using the BIAcore system. The results obtained with the two independent techniques showed good correlation and indicated that the degree and ring positions of oligosaccharide sulfation were major determinants of enzyme inhibitory activity. The observed difference in order of binding affinities of the drugs to the immobilized HNE, HAase and lysozyme suggests a conformational relationship, in addition to the charge interactions between the sulfate esters of the polysaccharides and the cationic amino acids of the enzymes. Significantly, the SPR biosensor technology demonstrated that small differences among sulfated polysaccharides, even subtle variations among different NaPPS batches, could be readily detected. The SPR technology therefore offers not only a sensitive and reproducible method for ranking noncompetitive enzyme inhibitors for drug discovery but a rapid and quantitative bioassay for monitoring batch consistency of manufacture.

Functional aspects of co-variant surface charges in an antibody fragment

A mutational analysis of three co-variant pairs of residues, located at the surface of a single-chain fragment, variable (scFv), remote from the antigen-binding site, was performed to investigate the tolerance of these positions to amino acid changes. The replacements consisted of the elimination or addition of charges, or in their replacement by a charge of opposite sign. As measured by Biacore, antigen-binding kinetics and specificity were essentially unaffected by the mutations. The purified scFvs remained mostly 100% active for 14 h, and their sensitivity to guanidinium-chloride denaturation was similar. These observations indicate that the mutations did not affect antigen-binding properties and that protein folding was conserved. However, the various scFvs differed greatly in half-life in periplasmic extracts (<4 h to >16 h at 25 degrees C). The deleterious effect on half-life produced by single mutations could be reversed by introducing a second mutation that restores the natural combination of amino acids in the co-variant pair, indicating that the consequence of charge modifications at these locations depends on the sequence context. We propose that the differences in half-life result from differences in aggregation propensities with other periplasmic proteins, related to the presence of charged patches at the surface of the scFvs. The practical implication is that changes in surface charge may drastically affect the level of active molecules in complex protein mixtures, a potentially important consideration in engineering scFvs for biotechnological or medical purposes.

Biospecific interaction analysis: a tool for drug discovery and development

The recent development of surface plasmon resonance (SPR)-based biosensor technologies for biospecific interaction analysis (BIA) enables the monitoring of a variety of molecular reactions in real-time. The biomolecular interactions occur at the surface of a flow cell of a sensor chip between a ligand immobilized on the surface and an injected analyte. SPR-based BIA offers many advantages over most of the other methodologies available for the study of biomolecular interactions, including full automation, no requirement for labeling, and the availability of a large variety of activated sensor chips that allow immobilization of DNA, RNA, proteins, peptides and cells. The assay is rapid and requires only small quantitities of both ligand and analyte in order to obtain informative results. In addition, the sensor chip can be re-used many times, leading to low running costs. Aside from the analysis of all possible combinations of peptide, protein, DNA and RNA interactions, this technology can also be used for screening of monoclonal antibodies and epitope mapping, analysis of interactions between low molecular weight compounds and proteins or nucleic acids, interactions between cells and ligands, and real-time monitoring of gene expression. Applications of SPR-based BIA in medicine include the molecular diagnosis of viral infections and genetic diseases caused by point mutations. Future perspectives include the combinations of SPR-based BIA with mass spectrometry, the use of biosensors in proteomics, and the application of this technology to design and develop efficient drug delivery systems.

Reductionism and the search for structure-function relationships in antibody molecules

One of the claims of reductionism is that it can explain all the features of living systems by an analysis of their physico-chemical constituents. Such a claim disregards the existence in biological systems of emergent properties that do not exist in their isolated components but which allow autonomous organisms to be directively organized in a self-regulated and integrated manner. It is not possible to describe biological systems adequately without using functional language that is meaningless in the physical sciences. The description of biological functions is also an essential part of immunology and functional explanations are more useful than causal explanations also in this discipline. Since causality is not a relation between a material object and an event, the structure of an antibody cannot be the cause of its binding activity. When structure-function relationships are analysed, the search should be for correlations rather than for causal relations. Methods used to find correlations between the atomic structure of antibody binding sites and their binding activity are mostly based on mutagenesis studies. Since the effect of any mutation depends on the molecular context, it is usually very difficult to predict the effects of multiple mutations on antibody function. Our knowledge of the molecular basis of antigen-antibody recognition has led to the expectation that it may be possible to develop new vaccines using molecular design principles. Such unwarranted hopes arise because of a confusion between antigenicity and immunogenicity. Although knowledge of antibody structure is of little use in vaccine design, it may help to develop therapeutic inhibitors and antibodies effective in the passive immunotherapy of viral infection.

Chromatographic methods for the isolation of, and refolding of proteins from, Escherichia coli inclusion bodies

New methods for the chromatographic isolation of inclusion bodies directly from crude Escherichia coli homogenates and for the refolding of denatured protein are presented. The traditional method of differential centrifugation for the isolation of purified inclusion bodies is replaced by a single gel-filtration step. The principle is that the exclusion limit of the gel particles is chosen such that only the inclusion bodies are excluded, i.e., all other components of the crude homogenate penetrate the gel under the conditions selected. In the novel column refolding process, a decreasing gradient of denaturant (urea or Gu-HCl), combined with an increasing pH gradient, is introduced into a gel-filtration column packed with a gel medium that has an exclusion limit lower than the molecular mass of the protein to be refolded. A limited sample volume of the protein, dissolved in the highest denaturant concentration at the lowest pH of the selected gradient combination, is applied to the column. During the course of elution, the zone of denatured protein moves down the column at a speed approximately threefold higher than that of the denaturant. This means that the protein sample will gradually pass through areas of increasingly lower denaturant concentrations and higher pH, which promotes refolding into the native conformation. The shape and slope of the gradients, as well as the flow rate, will influence the refolding rate and can be adjusted for different protein samples. The principle is illustrated using a denatured recombinant scFv fusion protein obtained from E. coli inclusion bodies.

Functional mapping of conserved, surface-exposed charges of antibody variable domains

Surface-exposed charges can affect protein structure, stability and solubility as well as the kinetics of both the folding process and interaction with binding partners. We have investigated the influence on kinetic interaction parameters of 14 conserved, surface-exposed charges located away from the paratope in the variable domains of two antibodies of different specificity. We found that conserved, surface-exposed, charged framework residues are asymmetrically distributed on opposite faces of both VH and VL domains. Some of the charges play a critical role in protein folding and stability. While electrostatic forces within or close to the binding interface can be used to optimize the association rate, we confirmed the predicted minor effects of charge modifications remote from the binding site. They had no effect on the dissociation rate parameter. Our study demonstrates the role of residues remote from the interaction site in the recognition function as well as the limited effect of surface charge modifications in antibody fragments on kinetic interaction parameters.

Comparative properties of two peptide-antibody interactions as deduced from epitope delineation

The linear epitope recognized by three closely related antibodies specific for the E6 oncoprotein of papillomavirus type 16 was delineated by phage display, spot peptide synthesis on cellulose membranes, and kinetic measurements with antigenic variants using a BIACORE. The same approaches, recently applied to an antibody specific for tobacco mosaic virus protein, led to the clear-cut delineation of a functional epitope comprising four key positions with well defined physico-chemical properties. In contrast, the E6 system is characterized by a non-essential contribution to binding of various factors, so that combinations of alternative properties are compatible with measurable binding activity.

Survey of the year 2000 commercial optical biosensor literature

We have compiled a comprehensive list of the articles published in the year 2000 that describe work employing commercial optical biosensors. Selected reviews of interest for the general biosensor user are highlighted. Emerging applications in areas of drug discovery, clinical support, food and environment monitoring, and cell membrane biology are emphasized. In addition, the experimental design and data processing steps necessary to achieve high-quality biosensor data are described and examples of well-performed kinetic analysis are provided.

Rapid two-step purification of a recombinant mouse Fab fragment expressed in Escherichia coli

We report a rapid, large-scale process for the purification of a recombinant Fab fragment specific for the tobacco mosaic virus coat protein (Fab57P). The fragment is expressed periplasmically in Escherichia coli. The expression level was optimized in 0.3-L fermentors. The highest levels were obtained using the following conditions: (1) low postinduction temperature (21 degrees C), (2) combined use of two beta-lactam antibiotics (carbenicillin and ampicillin), (3) IPTG concentration 0.1 mM, (4) regulated pH 7.2, (5) 17-h induction time, and (6) conditions that reduce mechanical stress. Optimized large-scale fermentations were done in 15- and 300-L capacity fermentors. The recombinant Fab fragment was purified by two chromatographic steps. After disruption of the bacteria using an APV Gaulin homogenizer, the crude E. coli homogenate was directly applied, without centrifugation, to an SP Sepharose Big Beads column. The recombinant Fab fragment was eluted as a single peak in a sodium chloride gradient. The fragment was further purified by affinity adsorption to a column packed with Epoxy-activated Sepharose 6B to which the antigen peptide NH(2)-CGS YNR GSF SQS SGLV-CONH(2) had been coupled through its N-terminal cysteine. The purified Fab57P fragment showed one band in SDS-PAGE. The overall purification yield was 35%.

BIACORE data processing: an evaluation of the global fitting procedure

Data from real-time molecular interaction analysis using BIACORE are currently evaluated by numerical integration. We have investigated the ability of two software packages (BIAevaluation 3.0 and CLAMP99) to analyze complex interactions. Three experimental data sets of high quality obtained with BIACORE upgraded and 2000 instruments, representative of simple bimolecular, heterogeneous ligand, and mass-transport-limited interactions, were processed by the global fitting procedure. The two software, which differ mainly in the statistical assessment of the output values, were able to discriminate correctly between various interacting models and provided very close output parameters with satisfactory statistical tests.

Delineation of a linear epitope by multiple peptide synthesis and phage display

Two different approaches, the phage display technique and the Spot peptide synthesis on cellulose membranes, were used to identify sequences recognized by Fab 57P, specific for tobacco mosaic virus protein (TMVP), and define the preferred chemical composition of a functional epitope. Kinetic measurements of the interaction between peptide variants and the antibody fragment were used to further refine the molecular basis of binding activity. Our results show that the functional epitope of Fab 57P requires precise physico-chemical properties at a limited number of positions, and that residues flanking these key residues can influence binding affinity. The phage display and Spot synthesis methods allowed the straightforward localization of the binding region and the identification of residues that are essential for recognition. However, these methods yielded slightly different views of accessory factors that are able to influence antibody binding. The influence on binding activity of these factors can only be assessed through quantitative affinity measurements.