Improving and repurposing biocatalysts via directed evolution

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A de novo protein binding pair by computational design and directed evolution

The de novo design of protein-protein interfaces is a stringent test of our understanding of the principles underlying protein-protein interactions and would enable unique approaches to biological and medical challenges. Here we describe a motif-based method to computationally design protein-protein complexes with native-like interface composition and interaction density. Using this method we designed a pair of proteins, Prb and Pdar, that heterodimerize with a Kd of 130 nM, 1000-fold tighter than any previously designed de novo protein-protein complex. Directed evolution identified two point mutations that improve affinity to 180 pM. Crystal structures of an affinity-matured complex reveal binding is entirely through the designed interface residues. Surprisingly, in the in vitro evolved complex one of the partners is rotated 180° relative to the original design model, yet still maintains the central computationally designed hotspot interaction and preserves the character of many peripheral interactions. This work demonstrates that high-affinity protein interfaces can be created by designing complementary interaction surfaces on two noninteracting partners and underscores remaining challenges.     

Improved solubility of TEV protease by directed evolution

The efficiency and high specificity of tobacco etch virus (TEV) protease has made it widely used for cleavage of recombinant fusion proteins. However, the production of TEV protease in E. coli is hampered by low solubility. We have subjected the gene encoding TEV protease to directed evolution to improve the yield of soluble protein. Libraries of mutated genes obtained by error-prone PCR and gene shuffling were introduced into the Gateway cloning system for facilitated transfer between vectors for screening, purification, or other applications. Fluorescence based in vivo solubility screening was carried out by cloning the libraries into a plasmid encoding a C-terminal GFP fusion. Mutant genes giving rise to high GFP fluorescence intensity indicating high levels of soluble TEV-GFP were subsequently transferred to a vector providing a C-terminal histidine tag for expression, purification, and activity tests of mutated TEV. We identified a mutant, TEV(SH), in which three amino acid substitutions result in a five-fold increase in the yield of purified protease with retained activity.     

Enzyme engineering: rational redesign versus directed evolution

Enzyme engineering is undergoing the most profound and exciting transformation in its history (1). It promises unprecedented expansion in the scope and applications of modified or improved enzymes with desired physical and catalytic properties. Two complementary strategies are currently available: rational redesign (2-5) and directed evolution (6,7). Although both approaches have met with great success, each has limitations. In this article, the perspectives for these enzyme-engineering strategies are discussed briefly.     

Engineering proteins for thermostability: the use of sequence alignments versus rational design and directed evolution

With the advent of directed evolution techniques, protein engineering has received a fresh impetus. Engineering proteins for thermostability is a particularly exciting and challenging field, as it is crucial for broadening the industrial use of recombinant proteins. In addition to directed evolution, a variety of partially successful rational concepts for engineering thermostability have been developed in the past. Recent results suggest that amino acid sequence comparisons of mesophilic proteins alone can be used efficiently to engineer thermostable proteins. The potential benefits of the underlying, semirational 'consensus concept' are compared with those of rational design and directed evolution approaches.     

Semi-rational approaches to engineering enzyme activity: combining the benefits of directed evolution and rational design

Many research groups successfully rely on whole-gene random mutagenesis and recombination approaches for the directed evolution of enzymes. Recent advances in enzyme engineering have used a combination of these random methods of directed evolution with elements of rational enzyme modification to successfully by-pass certain limitations of both directed evolution and rational design. Semi-rational approaches that target multiple, specific residues to mutate on the basis of prior structural or functional knowledge create 'smart' libraries that are more likely to yield positive results. Efficient sampling of mutations likely to affect enzyme function has been conducted both experimentally and, on a much greater scale, computationally, with remarkable improvements in substrate selectivity and specificity and in the de novo design of enzyme activities within scaffolds of known structure.     

Antibody-antigen pair probed by combinatorial approach and rational design: Bringing together structural insights, directed evolution, and novel functionality

The unique hypervariability of the immunoglobulin (Ig) superfamily provides a means to create both binding and catalytic antibodies with almost any desired specificity and activity. The diversity of antigens and concept of adaptive response suggest that it is possible to find an antigen pair to any raised Ig. In the current review we discuss combinatorial approaches, which makes it possible to obtain an antibody with predefined properties, followed by 3D structure-based rational design to enhance or dramatically change its characteristics. A similar strategy, but applied to the second partner of the antibody-antigen pair, may result in selection of complementary substrates to the chosen Ig. Finally, 2D screening may be performed solving the "Chicken and Egg" problem when neither antibody nor antigen is known.     

Tailoring recombinant protein quality by rational media design

Clinical efficacy and safety of recombinant proteins are closely associated with their structural characteristics. The major quality attributes comprise glycosylation, charge variants (oxidation, deamidation, and C‐ & N‐terminal modifications), aggregates, low‐molecular‐weight species (LMW), and misincorporation of amino acids in the protein backbone. Cell culture media design has a great potential to modulate these quality attributes due to the vital role of medium in mammalian cell culture. The purpose of this review is to provide an overview of the way both classical cell culture medium components and novel supplements affect the quality attributes of recombinant therapeutic proteins expressed in mammalian hosts, allowing rational and high‐throughput optimization of mammalian cell culture media. A selection of specific and/or potent inhibitors and activators of oligosaccharide processing as well as components affecting multiple quality attributes are presented. Extensive research efforts in this field show the feasibility of quality engineering through media design, allowing to significantly modulate the protein function. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:615–629, 2015     

Unbiased libraries in protein directed evolution

Directed evolution is a powerful approach to study the molecular basis of protein evolution and to engineer proteins for a wide range of applications in synthetic organic chemistry and biotechnology. There are many methods based on random or focused mutagenesis to engineer successfully any protein trait. Focused approaches such as site-directed and saturation mutagenesis have become methods of choice for improving protein activity, selectivity, stability and many other traits because the screening step can be practically handled (bottleneck in directed evolution). Although novel mutagenesis methods based on CRISPR or solid-phase gene synthesis can eliminate bias when creating protein libraries, traditional PCR approaches, although imperfect, remain widely used due to their ease and low cost. One of the most common approaches in focused mutagenesis relies on NNK mutagenesis, however, the primer-based 22c-trick and small-intelligent methods have emerged as key tools for constructing less biased and unbiased libraries when all 20 canonical amino acids are needed for various reasons. In this minireview, we assess studies employing such methods for library creation and their areas of application. We also discuss the advantages and disadvantages of both methods and provide a perspective for creating smarter libraries.     

Directed evolution of biocatalysts

Directed evolution is being used increasingly in academic and industrial laboratories to modify and improve important biocatalysts. Significant advances during this period of review include compartmentalization of genes and the in vitro translation apparatus in emulsions, as well as several impressive demonstrations of catalyst improvement. Shuffling of homologous genes offers a new way to utilize natural diversity in the evolution of novel catalysts.     

Optimizing the search algorithm for protein engineering by directed evolution

An in silico protein model based on the Kauffman NK-landscape, where N is the number of variable positions in a protein and K is the degree of coupling between variable positions, was used to compare alternative search strategies for directed evolution. A simple genetic algorithm (GA) was used to model the performance of a standard DNA shuffling protocol. The search effectiveness of the GA was compared to that of a statistical approach called the protein sequence activity relationship (ProSAR) algorithm, which consists of two steps: model building and library design. A number of parameters were investigated and found to be important for the comparison, including the value of K, the screening size, the system noise and the number of replicates. The statistical model was found to accurately predict the measured activities for small values of the coupling between amino acids, K 相似文献   

Continuous directed evolution for strain and protein engineering

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Genetic screens and directed evolution for protein solubility

Overexpressed proteins are often insoluble, and can be recalcitrant to conventional solubilization techniques such as refolding. Directed evolution methods, in which protein diversity libraries are screened for soluble variants, offer an alternative route to obtaining soluble proteins. Recently, several new protein solubility screens have been developed that do not require structural or functional information about the target protein. Soluble protein can be detected in vivo and in vitro by fusion reporter tags. Protein misfolding can be measured in vivo using the bacterial response to protein misfolding. Finally, soluble protein can be monitored by immunological detection. Efficient, well-established strategies for generating and recombining genetic diversity, driven by new screening and selection methods, can furnish correctly folded, soluble protein.     

Dissecting protein structure and function using directed evolution

To characterize the contributions of individual amino acids to the structure or function of a protein, researchers have adopted directed evolution approaches, which use iterated cycles of mutagenesis and selection or screening to search vast areas of sequence space for sets of mutations that provide insights into the protein of interest.     

Optimizing non-natural protein function with directed evolution

Developing technologies such as unnatural amino acid mutagenesis, non-natural cofactor engineering, and computational design are generating proteins with novel functions; these proteins, however, often do not reach performance targets and would benefit from further optimization. Evolutionary methods can complement these approaches: recent work combining unnatural amino acid mutagenesis and phage selection has created useful proteins of novel composition. Weak initial activity in a computationally designed enzyme has been improved by iterative rounds of mutagenesis and screening. A marriage of ingenuity and evolution will expand the scope of protein function well beyond Mother Nature's designs.     

Conversion of Bacillus thermocatenulatus lipase into an efficient phospholipase with increased activity towards long-chain fatty acyl substrates by directed evolution and rational design.

The thermoalkalophilic lipase from Bacillus thermocatenulatus BTL2 exhibits a low phospholipase activity (lecithin/tributyrin ratio 0.03). A single round of random mutagenesis of the BTL2 gene followed by screening of 6000 transformants on egg-yolk plates identified three variants with 10-12-fold increased phospholipase activities, corresponding to lecithin/tributyrin ratios of 0.16-0.36. All variants were specific for the sn-1 acyl ester bond of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine. Mutations occurred predominantly in the N-terminal part of BTL2 with regions surrounding the predicted helix alpha(4) and lid as hotspots. Two mutations, L184P located in the predicted helix alpha(4) and H15P found in the highly conserved oxy-anion hole motif among hydrolases, were identified to account for increased phospholipase activity. Two of the three variants showed reduced activities towards medium- and long-chain fatty acyl methyl esters compared to the wild-type enzyme. Substitution of Leu353 with Ser, which is located adjacent to the active site histidine and is important for phospholipase activity in the Staphylococcus hyicus lipase, increased the absolute phospholipase activities of the variants, but not of BTL2, approximately 2-fold. The engineered best variant displayed a lecithin/tributyrin ratio of 0.52, corresponding to a 17-fold increase compared to the wild-type enzyme. Moreover, this variant exhibited a 1.5-4-fold higher activity towards long-chain fatty acyl methyl ester (C18:1, C18:2, C18 and C20) compared to BTL2. A second round of mutagenesis and screening on lecithin-plates yielded no new variants with further increased phospholipase/lipase activity ratios, but instead one variant with a 5-fold increased expression rate and two variants with a 3-fold reduced activity towards triolein were obtained.     

Towards novel biocatalysts via protein design: the case of lipases

Abstract: During the past 3 years, the tertiary structures of several lipases have been solved by X-ray analysis. The structures revealed unique features such as hydrophobic 'patches' on the surface, presumably involved in lipid supersubstrate binding, and a lid structure which covers the active site in the absence of substrate. Only very recently the first X-ray structure of a bacterial lipase has been solved, and further structural features different from lipases of eukaryotic origin became apparent. Many lipase genes have been cloned and sequenced recently, and expression systems for the preparation of recombinant enzymes in good yields are available. As an example, the lipase from Rhizopus oryzae has been successfully expressed by us in Escherichia coli , and the resulting inclusion bodies were renatured in high yields. Consequently, the mechanism of action of lipases is now being studied via site-directed mutagenesis, and the rational design of lipases for the selective transformation of substrates is presently addressed in several laboratories.     

Reprogramming homing endonuclease specificity through computational design and directed evolution

Homing endonucleases (HEs) can be used to induce targeted genome modification to reduce the fitness of pathogen vectors such as the malaria-transmitting Anopheles gambiae and to correct deleterious mutations in genetic diseases. We describe the creation of an extensive set of HE variants with novel DNA cleavage specificities using an integrated experimental and computational approach. Using computational modeling and an improved selection strategy, which optimizes specificity in addition to activity, we engineered an endonuclease to cleave in a gene associated with Anopheles sterility and another to cleave near a mutation that causes pyruvate kinase deficiency. In the course of this work we observed unanticipated context-dependence between bases which will need to be mechanistically understood for reprogramming of specificity to succeed more generally.