Rounds Of Mutation Research Articles

Evolving ω-amine transaminase AtATA guided by substrate-enzyme binding free energy for enhancing activity and stability against non-natural substrates.

In the field of chiral amine synthesis, ω-amine transaminase (ω-ATA) is one of the most established enzymes capable of asymmetric amination under optimal conditions. However, the applicability of ω-ATA toward more non-natural complex molecules remains limited due to its low transamination activity, thermostability, and narrow substrate scope. Here, by employing a combined approach of computational virtual screening strategy and combinatorial active-site saturation test/iterative saturation mutagenesis strategy, we have constructed the best variant M14C3-V5 (M14C3-V62A-V116S-E117I-L118I-V147F) with improved ω-ATA from Aspergillus terreus (AtATA) activity and thermostability toward non-natural substrate 1-acetylnaphthalene, which is the ketone precursor for producing the intermediate (R)-(+)-1-(1-naphthyl)ethylamine [(R)-NEA] of cinacalcet hydrochloride, showing activity enhancement of up to 3.4-fold compared to parent enzyme M14C3 (AtATA-F115L-M150C-H210N-M280C-V149A-L182F-L187F). The computational tools YASARA, Discovery Studio, Amber, and FoldX were applied for predicting mutation hotspots based on substrate-enzyme binding free energies and to show the possible mechanism with features related to AtATA structure, catalytic activity, and stability in silico analyses. M14C3-V5 achieved 71.8% conversion toward 50 mM 1-acetylnaphthalene in a 50 mL preparative-scale reaction for preparing (R)-NEA. Moreover, M14C3-V5 expanded the substrate scope toward aromatic ketone compounds. The generated virtual screening strategy based on the changes in binding free energies has successfully predicted the AtATA activity toward 1-acetylnaphthalene and related substrates. Together with experimental data, these approaches can serve as a gateway to explore desirable performances, expand enzyme-substrate scope, and accelerate biocatalysis.IMPORTANCEChiral amine is a crucial compound with many valuable applications. Their asymmetric synthesis employing ω-amine transaminases (ω-ATAs) is considered an attractive method. However, most ω-ATAs exhibit low activity and stability toward various non-natural substrates, which limits their industrial application. In this work, protein engineering strategy and computer-aided design are performed to evolve the activity and stability of ω-ATA from Aspergillus terreus toward non-natural substrates. After five rounds of mutations, the best variant, M14C3-V5, is obtained, showing better catalytic efficiency toward 1-acetylnaphthalene and higher thermostability than the original enzyme, M14C3. The robust combinational variant acquired displayed significant application value for pushing the asymmetric synthesis of aromatic chiral amines to a higher level.

ARMADiLLO: a web server for analyzing antibody mutation probabilities.

Antibodies are generated by B cells that evolve receptor specificity to pathogens through rounds of mutation and selection in a process called affinity maturation. Somatic hypermutation is mediated by an enzyme with DNA sequence context-dependent targeting and substitution resulting in variable probabilities of amino acid substitutions during affinity maturation. We have previously developed a program called Antigen Receptor Mutation Analyzer for the Detection of Low Likelihood Occurrences (ARMADiLLO) that performs simulations of the somatic hypermutation process to estimate the probabilities of observed antibody mutations. Here we describe the ARMADiLLO web server (https://armadillo.dhvi.duke.edu), an easy-to-use web interface that analyzes input antibody sequences and displays the probability estimates for all possible amino acid changes over the full length of an antibody sequence. The probability of antibody mutations can be used by immunologists studying B cell ontogenies and by vaccine designers that are pursuing strategies to elicit broadly neutralizing antibodies which are enriched with developmentally rate-limiting improbable mutations. The ARMADiLLO web server also contains precomputed results reporting the probability of amino acid substitutions in all human V gene segments and in a collection of HIV broadly neutralizing antibodies.

Being noisy in a crowd: Differential selective pressure on gene expression noise in model gene regulatory networks.

Expression noise, the variability of the amount of gene product among isogenic cells grown in identical conditions, originates from the inherent stochasticity of diffusion and binding of the molecular players involved in transcription and translation. It has been shown that expression noise is an evolvable trait and that central genes exhibit less noise than peripheral genes in gene networks. A possible explanation for this pattern is increased selective pressure on central genes since they propagate their noise to downstream targets, leading to noise amplification. To test this hypothesis, we developed a new gene regulatory network model with inheritable stochastic gene expression and simulated the evolution of gene-specific expression noise under constraint at the network level. Stabilizing selection was imposed on the expression level of all genes in the network and rounds of mutation, selection, replication and recombination were performed. We observed that local network features affect both the probability to respond to selection, and the strength of the selective pressure acting on individual genes. In particular, the reduction of gene-specific expression noise as a response to stabilizing selection on the gene expression level is higher in genes with higher centrality metrics. Furthermore, global topological structures such as network diameter, centralization and average degree affect the average expression variance and average selective pressure acting on constituent genes. Our results demonstrate that selection at the network level leads to differential selective pressure at the gene level, and local and global network characteristics are an essential component of gene-specific expression noise evolution.

Genetic algorithm-de novo, molecular dynamics and MMGBSA based modelling of a novel Benz-pyrazole based anticancer ligand to functionally revert mutant P53 into wild type P53

ABSTRACT Mutations in P53 cause a loop unfolding, resulting in loss of activity and finally leading to cancer. One strategically reported way to arrest such oncogenesis is the restoration of tertiary structure as well as the function of mutant P53. In this attempt, we have designed a benzo-pyrazole-based novel ligand starting from a carbazole compound (EYB or PK9324) reported earlier to reinstate such function in mutant P53 (Y220C mutant, PDB: 6GGD). Assuming PK9324 as the template scaffold, de novo technique (Genetic algorithm, eLEA3D) was adopted within the binding pocket of 6GGD and our ligand DLIG1 was designed after several rounds of mutations. Docking and molecular dynamics (MD) simulation revealed significant interactions with key amino acid residues such as Cys220, Asp228, Leu145, Trp146, Val147, Thr150, Pro151, Pro152, Pro222, Pro223, Asp228, and Thr230. Along with sufficient binding stability, the MMGBSA analysis revealed its comparable binding free energy with other reported reference ligands (i.e. PK9324 and PK9318). Similar to these reference ligands, DLIG1 exhibited specificity in binding towards the Y220C mutant rather than towards wild-type P53. Finally, DLIG1 displayed a reorientation of a hydrophobic cavity in Y220C that hinted restoration of electrostatic interactions within the key loops of P53 favoring regain of its function.

Enhancement degradation efficiency of pyrethroid-degrading esterase (Est816) through rational design and its application in bioremediation

The pervasive use of pyrethroids is seriously hazardous to the environment and even human health. Enzymatic bioremediation is potentially a rapid and environmentally friendly technology to combat the pollution of pyrethroid pesticides. The hydrolysis of ester linkages is the initial and critical enzymatic step in microbial degradation pathways. Here, the versatile and thermostable esterase Est816 was cloned and its new function, pyrethroid-hydrolysis activity, was expanded. To further improve its pyrethroid-hydrolysis ability, Est816 was modified by rational design. After two rounds of mutation, the best-performing mutant, Est816A216V/K238N/M97V, was obtained, which could completely degrade 1 mg/L λ-cyhalothrin, cypermethrin, and deltamethrin within 20 min, and efficiently degrade fenvalerate, reaching over 80% conversion. Degradation activity analyses showed that three substitutions (A216V, K238 N and M97V) were beneficial for enhancing the activity of Est816. Enzymatic characterization showed that Est816A216V/K238N/M97V inherited broad substrate specificity and possessed excellent stability and adaptability over wide ranges of temperature and pH, which is essential for bioremediation in frequently changing conditions. Furthermore, Est816A216V/K238N/M97V had the best degradation effect on all four pyrethroid residues in Panax notoginseng root, with more than 87% conversion after 24 h. Pyrethroid residues in tea, cucumber, and soil were reduced by more than 76%, 80%, and 76%, respectively. Taken together, these findings highlight the great potential of Est816A216V/K238N/M97V in the bioremediation of pyrethroid-contaminated soil and agricultural products.

Engineering Methyltransferase and Sulfoxide Synthase for High-Yield Production of Ergothioneine.

Ergothioneine (ERG) is an unusual sulfur-containing amino acid with antioxidant activity that can be synthesized by certain bacteria and fungi. Microbial fermentation is a promising method for ERG production. In this study, the bifunctional enzyme methyltransferase-sulfoxide synthase NcEgt1 from Neurospora crassa was truncated to obtain sulfoxide synthase TNcEgt1, which showed a higher expression level in Escherichia coli BL21(DE3). Then, the genes egtD encoding methyltransferase EgtD and egtE encoding C-S lyase EgtE from Mycobacterium smegmatis were cloned with TncEgt1 into E. coli BL21(DE3) to produce 70 mg/L ERG. To improve ERG production, TNcEgt1 and EgtD were modified, and the resulting mutants were screened with an established high-throughput method which could directly analyze the ERG content in culture broths. After several rounds of mutation and screening, the optimal mutant MD4 was obtained and produced 290 mg/L ERG. Furthermore, a fed-batch culture was conducted in a 5 L bioreactor. After optimizing the fermentation process, the ERG yield reached 5.4 g/L after 94 h of cultivation supplemented with amino acids and glycerol, which is the highest ERG yield reported to date. The results showed that ERG production was significantly improved by modifying the key enzymes, and the engineered strains constructed in this study have potential industrial application prospects.

Development of Streptococcus equisimilis group G mutant strains produce low polydisperse and low molecular weight Hyaluronic Acid.

Hyaluronic acid (HA), a natural polymer with unique properties and wide application, is mainly produced by Streptococcal fermentation at industrial scale. In the present work, two rounds of chemical random mutagenesis were applied on Streptococcus equisimilis group G to obtain high-producing strains using 1-methyl-3-nitro-1-nitrosoguanidine. The non-hemolytic and hyaluronidase-negative mutants were screened on blood agar and HA agar, respectively. HA productivity and molecular weight (Mw) was determined by carbazole assay and agarose gel electrophoresis, respectively. Moreover, the stability of strains was assessed within 10 generations in term of HA productivity. The findings showed that the wild type strain produced 1241 ± 2.1µg/ml HA at pH 5.5 and 4 hours of cultivation, while the screened mutants showed a 16.1 - 45.5 % increase in the production. Two mutant strains, named Gm2-120-21-3 (2470± 8.1µg/ml) and Gm2-120-21-4 (2856± 4.2µg/ml), showed the highest titer and a consistent production. The molecular weight of HA for the mutants was less than 160 kDa which considered a low Mw. The mutant strains producing a low polydisperse and low Mw HA at high titer can be considered potential industrial strains for HA production after further safety investigations.

GenMuNN: A mutation-based approach to repair deep neural network models

Deep neural network (DNN) models have been widely used in e-commerce, games, automobiles, manufacturing, and so on. Improper structure, parameters, activation function, or incorrect loss function of the DNN models may cause defects in performance or security. As a result, there are some researches that focus on repairing DNN such as MODE and Apricot. However, the cost of repairing is high or the repair may lead to overfitting. In order to solve this problem, we propose GenMuNN, which is a Mutation-Based Approach to Repair Deep Neural Network Models. First, it analyzes the importance of the weights of the neurons in each layer of the DNN model to the correctness of the final prediction results, and ranks the weights according to the influence on the prediction results of the DNN model. Second, mutation is performed to generate mutants based on the rank of weights, and genetic algorithms are used to select mutants for the next round of mutation until the stop condition is touched. Experiments are carried on a set of DNN models which are trained with the MNIST dataset. The experimental results show that GenMuNN can improve the accuracy of the DNN models.

Iterative mutagenesis induced by atmospheric and room temperature plasma treatment under multiple selection pressures for the improvement of coenzyme Q10 production by Rhodobacter sphaeroides.

CoQ10, which has been widely applied in medicine by dietary supplement, possesses important functions in antioxidant process and bioenergy generation. Iterative mutagenesis introduced by atmospheric and room temperature plasma (ARTP) treatment was studied to improve the coenzyme Q10 (CoQ10) production of Rhodobacter sphaeroides (R. sphaeroides), and multiple selection pressures including vitamin K3 (VK3), Na2S and benzoic acid (BA) were adopted for the first time. After two rounds of mutation and screening, a mutant strain R.S 17 was obtained, and the product titer was increased by 80.37%. The CoQ10 titer and cell density reached 236.7mg L-1 and 57.09g L-1, respectively, in the fed-batch fermentation, and the CoQ10 content was 22.1% higher than that of the parent strain. In addition, the spectral scanning results indicated the metabolic flux improvement contributing to the CoQ10 production in R.S 17, and the genetic stability was validated. Based on the iterative mutagenesis introduced by ARTP under multiple selection pressures, the promotion of CoQ10 production by R. sphaeroides was achieved. The significant improvement in fermentation performances and the good genetic stability of R.S 17 indicate a potential way for the efficient biosynthesis of CoQ10.

PROFICS: A bacterial selection system for directed evolution of proteases

Proteases serve as important tools in biotechnology and as valuable drugs or drug targets. Efficient protein engineering methods to study and modulate protease properties are thus of great interest for a plethora of applications. We established PROFICS (PRotease Optimization via Fusion-Inhibited Carbamoyltransferase-based Selection), a bacterial selection system, which enables the optimization of proteases for biotechnology, therapeutics or diagnosis in a simple overnight process. During the PROFICS process, proteases are selected for their ability to specifically cut a tag from a reporter enzyme and leave a native N-terminus. Precise and efficient cleavage after the recognition sequence reverses the phenotype of an Escherichia coli knockout strain deficient in an essential enzyme of pyrimidine synthesis. A toolbox was generated to select for proteases with different preferences for P1′ residues (the residue immediately following the cleavage site). The functionality of PROFICS is demonstrated with viral proteases and human caspase-2. PROFICS improved caspase-2 activity up to 25-fold after only one round of mutation and selection. Additionally, we found a significantly improved tolerance for all P1′ residues caused by a mutation in a substrate interaction site. We showed that this improved activity enables cells containing the new variant to outgrow cells containing all other mutants, facilitating its straightforward selection. Apart from optimizing enzymatic activity and P1′ tolerance, PROFICS can be used to reprogram specificities, erase off-target activity, optimize expression via tags/codon usage, or even to screen for potential drug-resistance-conferring mutations in therapeutic targets such as viral proteases in an unbiased manner.

Identification and characterization of novel xylose isomerases from a Bos taurus fecal metagenome.

Discovering sugar metabolism genes is of great interest for lignocellulosic biorefinery. Xylose isomerases (XIs) were commonly screened from metagenomes derived from bovine rumen, soil, and other sources. However, so far, XIs and other sugar-utilizing enzymes have not been discovered from fecal metagenomes. In this study, environmental DNA from the fecal samples collected from yellow cattle (Bos taurus) was sequenced and analyzed. In the whole 14.26 Gbp clean data, 92 putative XIs were annotated. After sequence analysis, seven putative XIs were heterologously expressed in Escherichia coli and characterized in vitro. The XIs 58444 and 58960 purified from E. coli exhibited 22% higher enzyme activity when compared with that of the native E. coli XI. The XI 58444, similar to the XI from Lachnospira multipara, exhibited a relatively stable activity profile across different pH conditions. Four XIs were further investigated in budding yeast Saccharomyces cerevisiae after codon optimization. Overexpression of the codon-optimized 58444 enabled S. cerevisiae to utilize 6.4 g/L xylose after 96 h without any other genetic manipulations, which is 56% higher than the control yeast strain overexpressing an optimized XI gene xylA*3 selected by three rounds of mutation. Our results provide evidence that a bovine fecal metagenome is a novel and valuable source of XIs and other industrial enzymes for biotechnology applications.

Mutagenesis of Rhodobacter sphaeroides using atmospheric and room temperature plasma treatment for efficient production of coenzyme Q10

Coenzyme Q10 (CoQ10) plays an important role in the human respiratory chain and is widely used as medicine and dietary supplement. To improve the fermentation efficiency of CoQ10, a modified version of atmospheric and room temperature plasma (ARTP) treatment was used to mutate Rhodobacter sphaeroides. Meanwhile, Vitamin K3, a structural analog of CoQ10, was used as an inhibitor for mutant selection. In the first round of screening in 24-well plates, three mutants were obtained, with the production of CoQ10at 311mg/L, 307mg/L, and 309mg/L, which were increased from the parent's production at 265mg/L. Furthermore, a second round of mutation and screening was performed based on the mutant strain with the highest production in the first round, leading to the identification of a mutant AR01 with the production of CoQ10at ∼330mg/L. Finally, 590mg/L CoQ10 was obtained for AR01 after 100h fermentation, which was ∼25.5% higher than that of the original parent strain. It is the first report of ARTP treatment usage for the selection of CoQ10 producing bacteria and the results show that plasma jet, driven by helium-based ARTP, can be a feasible strategy for mutation feeding.

The evolutionary pathway from a biologically inactive polypeptide sequence to a folded, active structural mimic of DNA.

The protein Ocr (overcome classical restriction) from bacteriophage T7 acts as a mimic of DNA and inhibits all Type I restriction/modification (RM) enzymes. Ocr is a homodimer of 116 amino acids and adopts an elongated structure that resembles the shape of a bent 24 bp DNA molecule. Each monomer includes 34 acidic residues and only six basic residues. We have delineated the mimicry of Ocr by focusing on the electrostatic contribution of its negatively charged amino acids using directed evolution of a synthetic form of Ocr, termed pocr, in which all of the 34 acidic residues were substituted for a neutral amino acid. In vivo analyses confirmed that pocr did not display any antirestriction activity. Here, we have subjected the gene encoding pocr to several rounds of directed evolution in which codons for the corresponding acidic residues found in Ocr were specifically re-introduced. An in vivo selection assay was used to detect antirestriction activity after each round of mutation. Our results demonstrate the variation in importance of the acidic residues in regions of Ocr corresponding to different parts of the DNA target which it is mimicking and for the avoidance of deleterious effects on the growth of the host.

Trade-offs in antibody repertoires to complex antigens.

Pathogens vary in their antigenic complexity. While some pathogens such as measles present a few relatively invariant targets to the immune system, others such as malaria display considerable antigenic diversity. How the immune response copes in the presence of multiple antigens, and whether a trade-off exists between the breadth and efficacy of antibody (Ab)-mediated immune responses, are unsolved problems. We present a theoretical model of affinity maturation of B-cell receptors (BCRs) during a primary infection and examine how variation in the number of accessible antigenic sites alters the Ab repertoire. Naive B cells with randomly generated receptor sequences initiate the germinal centre (GC) reaction. The binding affinity of a BCR to an antigen is quantified via a genotype–phenotype map, based on a random energy landscape, that combines local and distant interactions between residues. In the presence of numerous antigens or epitopes, B-cell clones with different specificities compete for stimulation during rounds of mutation within GCs. We find that the availability of many epitopes reduces the affinity and relative breadth of the Ab repertoire. Despite the stochasticity of somatic hypermutation, patterns of immunodominance are strongly shaped by chance selection of naive B cells with specificities for particular epitopes. Our model provides a mechanistic basis for the diversity of Ab repertoires and the evolutionary advantage of antigenically complex pathogens.

Isolation Of Beauveria Bassiana, Classical Mutation And Solid Substrate Fermentation For Higher Biomass Production.

The study describes the isolation of Beauveria bassiana from soil sample collected from lower bhavani project areas of Tamil Nadu. Primary screening of Beauveria bassiana was examined by microscopic and macroscopic morphology and then confirmed by biochemical tests. Fast growing selected isolate are cultured for biomass production on submerged and solid state fermentation effected 20% packed cell mass in SMF and EOF cell mass of 22 grams by SSF. The selected isolate is irradiated to UV and conducted three rounds of mutation resulted. Thirty five mutants were screened for fast growth, increased enzyme activity and biomass production. The study has resulted mutant MUT-23 affected 35% PCV in SMF and 30 grams end of fermentation weight in SSF with lipase 45 u/g, protease 88 u/g and chitinase 34 u/g productivity.

Improved acid tolerance of Lactobacillus pentosus by error-prone whole genome amplification

Acid tolerance of Lactobacillus pentosus ATCC 8041 was improved by error-prone amplification of its genomic DNA using random primers and Taq DNA polymerase. The resulting amplification products were transferred into wild-type L. pentosus by electroporation and the transformants were screened for growth on low-pH agar plates. After only one round of mutation, one mutant (MT3) was identified that was able to completely consume 20g/L of glucose to produce lactic acid at a yield of 95% in 1L MRS medium at pH 3.8 within 36h, whereas no growth or lactic acid production was observed for the wild-type strain under the same conditions. The acid tolerance of mutant MT3 remained genetically stable for at least 25 subcultures. Therefore, the error-prone whole genome amplification technique is a very powerful tool for improving phenotypes of this lactic acid bacterium and may also be applicable for other microorganisms.

Optimization of the In-Silico-Designed Kemp Eliminase KE70 by Computational Design and Directed Evolution

Although de novo computational enzyme design has been shown to be feasible, the field is still in its infancy: the kinetic parameters of designed enzymes are still orders of magnitude lower than those of naturally occurring ones. Nonetheless, designed enzymes can be improved by directed evolution, as recently exemplified for the designed Kemp eliminase KE07. Random mutagenesis and screening resulted in variants with > 200-fold higher catalytic efficiency and provided insights about features missing in the designed enzyme. Here we describe the optimization of KE70, another designed Kemp eliminase. Amino acid substitutions predicted to improve catalysis in design calculations involving extensive backbone sampling were individually tested. Those proven beneficial were combinatorially incorporated into the originally designed KE70 along with random mutations, and the resulting libraries were screened for improved eliminase activity. Nine rounds of mutation and selection resulted in > 400-fold improvement in the catalytic efficiency of the original KE70 design, reflected in both higher k cat values and lower K m values, with the best variants exhibiting k cat/ K m values of > 5 × 10 4 s − 1 M − 1 . The optimized KE70 variants were characterized structurally and biochemically, providing insights into the origins of the improvements in catalysis. Three primary contributions were identified: first, the reshaping of the active-site cavity to achieve tighter substrate binding; second, the fine-tuning of electrostatics around the catalytic His-Asp dyad; and, third, the stabilization of the active-site dyad in a conformation optimal for catalysis.

Evolution of TRIM antiviral genes in primate genomes

In the past few years, researchers in virology have revealed a novel arm of intracellular, cell-autonomous immunity that mammalian cells mount against viral infections. The discovery of this class of antiviral defense has typically relied on host cells from different sources having altered abilities to resist infection by a particular virus. For instance,, the TRIM5alpha gene was discovered in a functional screen because it confers resistance to HIV infection in rhesus macaques and other Old World Monkeys (OWM) but not in humans. Since this functional identification approach is predicated on the rare observation of different susceptibilities to viral infection amongst cells (e.g. rhesus versus human), this traditional approach is likely to miss the bulk of such immunity genes. Indeed, the evolutionary histories of TRIM5 suggests its participation in intrinsic immunity is ancient, yet it was discovered due to its incidental activity against relatively young lentiviruses like HIV-1. This indicates that the cellular arsenal of intrinsic immunity genes honed against retroviruses is large and mostly undiscovered. We aim to exploit another feature common to these intrinsic immunity genes: the unique selective pressures they are subject to by virtue of their antagonistic relationship with retroviruses. For instance, any mutation that improves TRIM5alpha's ability to recognize its viral antagonist (the capsid protein) is advantageous to the host genome. However, the viral capsid is also under stringent selective pressures to mutate to avoid interacting with TRIM5alpha. Repeated rounds of mutation in which one party increases binding affinity while the other party decreases affinity can be likened to a molecular 'arms-race'. We believe that a candidate gene identification approach, based on identifying signatures of such 'arms-races' via evolutionary pressures, is likely to be highly informative to characterize host-virus intracellular interactions in general, and identify novel intrinsic immunity genes, in particular. I will discuss our studies of the TRIM multigene family and innovations observed both in terms of sequence evolution as well as gene-fusion that have helped primates battle retroviruses over the course of evolution.

Advances in laboratory evolution of enzymes

We address recent developments in the area of laboratory, or directed evolution, with a focus on enzymes and on new methodologies of generic potential. We survey three main areas: (i) library making techniques, including the application of computational and rational methods for library design; (ii) screening and selection techniques, including recent applications of enzyme screening by FACS (fluorescence activated cell sorter); (iii) new approaches for performing directed evolution, and in particular, the application of 'neutral drifts' (libraries generated by rounds of mutation and selection for the enzyme's original function) and of consensus mutations to generate highly evolvable starting points for directed evolution.

Development of a screening platform for directed evolution using the reef coral fluorescent protein ZsGreen as a solubility reporter

Soluble proteins, with high expression levels, are preferred candidates for structural and functional studies. In cases of low expression, aggregation or inclusion body formation, time-consuming searches for optimal expression or refolding conditions are required. We have developed a high-throughput solubility engineering and screening platform for proteins that are expressed in an insoluble form in Escherichia coli with the aim of obtaining a broad spectrum of best hits with increased solubility in difficult to express target proteins. This process has been developed using error-prone PCR to introduce random base changes in genes of interest. Expression of mutated proteins in fusion with the reef coral fluorescent protein ZsGreen as a solubility marker has enabled the selection of more soluble variants. We have used a colony picker to achieve high-throughput selection of E.coli expressing more soluble target protein-ZsGreen fusions, with increased fluorescence. The whole process enables us to complete one round of mutation, screening and analysis of 20,000 potential soluble clones within approximately 8 weeks. We describe the development of the methods using different model proteins and show one example, the kinase domain from the human EphB2 receptor, as a successful application of the whole platform.