Characterization of random-sequence proteins displayed on the surface of Escherichia coli RNase HI

Foldability of a Natural De Novo Evolved Protein

The de novo evolution of protein-coding genes from noncoding DNA is emerging as a source of molecular innovation in biology. Studies of random sequence libraries, however, suggest that young de novo proteins will not fold into compact, specific structures typical of native globular proteins. Here we show that Bsc4, a functional, natural de novo protein encoded by a gene that evolved recently from noncoding DNA in the yeast S. cerevisiae, folds to a partially specific three-dimensional structure. Bsc4 forms soluble, compact oligomers with high β sheet content and a hydrophobic core, and undergoes cooperative, reversible denaturation. Bsc4 lacks a specific quaternary state, however, existing instead as a continuous distribution of oligomer sizes, and binds dyes indicative of amyloid oligomers or molten globules. The combination of native-like and non-native-like properties suggests a rudimentary fold that could potentially act as a functional intermediate in the emergence of new folded proteins de novo.

High solubility of random-sequence proteins consisting of five kinds of primitive amino acids

Searching for functional proteins among random-sequence libraries is a major challenge of protein engineering; the difficulties include the poor solubility of many random-sequence proteins. A library in which most of the polypeptides are soluble and stable would therefore be of great benefit. Although modern proteins consist of 20 amino acids, it has been suggested that early proteins evolved from a reduced alphabet. Here, we have constructed a library of random-sequence proteins consisting of only five amino acids, Ala, Gly, Val, Asp and Glu, which are believed to have been the most abundant in the prebiotic environment. Expression and characterization of arbitrarily chosen proteins in the library indicated that five-alphabet random-sequence proteins have higher solubility than do 20-alphabet random-sequence proteins with a similar level of hydrophobicity. The results support the reduced-alphabet hypothesis of the primordial genetic code and should also be helpful in constructing optimized protein libraries for evolutionary protein engineering.

Searching for folded proteins in vitro and in silico

Understanding the sequence determinants of protein structure, stability and folding is critical for understanding how natural proteins have evolved and how proteins can be engineered to perform novel functions. The complexity of the protein folding problem requires the ability to search large volumes of sequence space for proteins with specific structural or functional characteristics. Here we describe our efforts to identify novel proteins using a phage-display selection strategy from a 'mini-exon' shuffling library generated from the yeast genome and from completely random sequence libraries, and compare the results to recent successes in generating novel proteins using in silico protein design.

Mapping of unit boundaries of a protein: exhaustive search for permissive sites for duplication by complementation analysis of random fragment libraries of tryptophan synthase alpha subunit

To identify peptide units that make up a single-domain protein, we searched for possible combinations of N and C-fragments that exhibit functional complementation, and attempted an exhaustive evaluation of peptide unit boundaries. The tryptophan synthase alpha subunit was used as a model enzyme, which has a single TIM (beta8/alpha8) barrel domain. Libraries comprising randomly digested N and C-fragments were constructed, and clones expressing enzymatic activity were selected by the ability to confer growth of the Escherichia coli trpA mutant on a medium lacking tryptophan. More than 50 clones were obtained, and two cleavable positions were found on the loops after extra-helix 2' and helix 5. Half of the clones harbored N and C-fragments having an overlap between two fragments. The remaining clones harbored one fragment made by the fusion of N and C-fragments with insertional sequence duplication. Mapping the frequency of occurrence of fragment overlap and insertional duplication showed significant peaks at two loops, which coincide with the cleavable sites. These results suggest that the boundaries of unit fragments are located at these positions, and that bisection, fragment overlap and insertion are all possible at the unit boundaries.

A "loop entropy reduction" phage-display selection for folded amino acid sequences

As a step toward selecting folded proteins from libraries of randomized sequences, we have designed a 'loop entropy reduction'-based phage-display method. The basic premise is that insertion of a long disordered sequence into a loop of a host protein will substantially destabilize the host because of the entropic cost of closing a loop in a disordered chain. If the inserted sequence spontaneously folds into a stable structure with the N and C termini close in space, however, this entropic cost is diminished. The host protein function can, therefore, be used to select folded inserted sequences without relying on specific properties of the inserted sequence. This principle is tested using the IgG binding domain of protein L and the lck SH2 domain as host proteins. The results indicate that the loop entropy reduction screen is capable of discriminating folded from unfolded sequences when the proper host protein and insertion point are chosen.

Molecular mechanisms for antibody-mediated modulation of peptide-displaying enzyme sensors

The generation of molecular sensors based on peptide-displaying enzymes for the detection of antibodies or antigens represents an innovative field of protein engineering. The knowledge of the underlying molecular mechanisms of enzymatic modulation in such sensors would be of great importance for the rational construction and improvement of responsiveness of new peptide-enzyme molecules. Here we analyze the enzymatic characteristics of three different kinds of sensors based in engineered beta-galactosidase, alkaline phosphatase and beta-lactamase, to explore a common activation basis. We describe two different categories of enzyme sensors. In one of them, including only some modified beta-lactamases, the enzymatic activity is inhibited upon ligand binding and it seems to be caused by the steric coverage of the active site by the bound antibody. In a second group, embracing members of the three studied enzymes, the ability to be modulated upon effector binding depends on the ratio between the k(cat) of the engineered enzyme and the k(cat) of the intact enzyme. This proves a common mechanism for enzymatic modulation of enzyme biosensors that is probably caused by conformational effects induced by the bound antibody on the enzyme.

STABLE: protein-DNA fusion system for screening of combinatorial protein libraries in vitro

We have developed a new method that permits the complete in vitro construction and selection of peptide or protein libraries. This method relies on an in vitro transcription/translation reaction compartmentalized in water in oil emulsions. In each emulsion compartment, streptavidin (STA)-fused polypeptides are synthesized and attached to the encoding DNA via its biotin label. The resulting protein-DNA fusion molecules recovered from the emulsion can be subjected to affinity selection based on the properties of the peptide portion, whose sequence can be determined from that of its DNA-tag. This method, named 'STABLE' (STA-biotin linkage in emulsions), should be useful for rapid in vitro evolution of proteins and for ligand-based selection of cDNA libraries.

Insertional gene fusion technology

The classical 'end to end' gene fusion technique has widely been used for monitoring gene expression, biological screening and purification of recombinant proteins. Recent progress with the 'insertional' gene fusion approach, on the other hand, has demonstrated that this technique can be utilized for membrane protein topology analysis, display of randomized protein libraries and design of biosensor proteins. In this review, we describe examples of insertional gene fusion and compare the old and new gene fusion techniques.

Design of generic biosensors based on green fluorescent proteins with allosteric sites by directed evolution

Protein-engineering techniques have been adapted for the molecular design of biosensors that combine a molecular-recognition site with a signal-transduction function. The optical signal-transduction mechanism of green fluorescent protein (GFP) is most attractive, but hard to combine with a ligand-binding site. Here we describe a general method of creating entirely new molecular-recognition sites on GFPs. At the first step, a protein domain containing a desired molecular-binding site is inserted into a surface loop of GFP. Next, the insertional fusion protein is randomly mutated, and new allosteric proteins that undergo changes in fluorescence upon binding of target molecules are selected from the random library. We have tested this methodology by using TEM1 beta-lactamase and its inhibitory protein as our model protein-ligand system. 'Allosteric GFP biosensors' constructed by this method may be used in a wide range of applications including biochemistry and cell biology.

Origins of globular structure in proteins

Since natural proteins are the products of a long evolutionary process, the structural properties of present-day proteins should depend not only on physico-chemical constraints, but also on evolutionary constraints. Here we propose a model for protein evolution, in which membranes play a key role as a scaffold for supporting the gradual evolution from flexible polypeptides to well-folded proteins. We suggest that the folding process of present-day globular proteins is a relic of this putative evolutionary process. To test the hypothesis that membranes once acted as a cradle for the folding of globular proteins, extensive research on membrane proteins and the interactions of globular proteins with membranes will be required.