{"title":"Engineering Candida boidinii formate dehydrogenase for activity with the non-canonical cofactor 3'-NADP(H).","authors":"Salomon Vainstein, Scott Banta","doi":"10.1093/protein/gzad009","DOIUrl":"10.1093/protein/gzad009","url":null,"abstract":"<p><p>Oxidoreductases catalyze essential redox reactions, and many require a diffusible cofactor for electron transport, such as NAD(H). Non-canonical cofactor analogs have been explored as a means to create enzymatic reactions that operate orthogonally to existing metabolism. Here, we aimed to engineer the formate dehydrogenase from Candid boidinii (CbFDH) for activity with the non-canonical cofactor nicotinamide adenine dinucleotide 3'-phosphate (3'-NADP(H)). We used PyRosetta, the Cofactor Specificity Reversal Structural Analysis and Library Design (CSR-SALAD), and structure-guided saturation mutagenesis to identify mutations that enable CbFDH to use 3'-NADP+. Two single mutants, D195A and D195G, had the highest activities with 3'-NADP+, while the double mutant D195G/Y196S exhibited the highest cofactor selectivity reversal behavior. Steady state kinetic analyses were performed; the D195A mutant exhibited the highest KTS value with 3'-NADP+. This work compares the utility of computational approaches for cofactor specificity engineering while demonstrating the engineering of an important enzyme for novel non-canonical cofactor selectivity.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10146296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Masked inverse folding with sequence transfer for protein representation learning.","authors":"Kevin K Yang, Niccolò Zanichelli, Hugh Yeh","doi":"10.1093/protein/gzad015","DOIUrl":"10.1093/protein/gzad015","url":null,"abstract":"<p><p>Self-supervised pretraining on protein sequences has led to state-of-the art performance on protein function and fitness prediction. However, sequence-only methods ignore the rich information contained in experimental and predicted protein structures. Meanwhile, inverse folding methods reconstruct a protein's amino-acid sequence given its structure, but do not take advantage of sequences that do not have known structures. In this study, we train a masked inverse folding protein masked language model parameterized as a structured graph neural network. During pretraining, this model learns to reconstruct corrupted sequences conditioned on the backbone structure. We then show that using the outputs from a pretrained sequence-only protein masked language model as input to the inverse folding model further improves pretraining perplexity. We evaluate both of these models on downstream protein engineering tasks and analyze the effect of using information from experimental or predicted structures on performance.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54232290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laura Job, Anja Köhler, Mauricio Testanera, Benjamin Escher, Franz Worek, Arne Skerra
{"title":"Engineering of a phosphotriesterase with improved stability and enhanced activity for detoxification of the pesticide metabolite malaoxon.","authors":"Laura Job, Anja Köhler, Mauricio Testanera, Benjamin Escher, Franz Worek, Arne Skerra","doi":"10.1093/protein/gzad020","DOIUrl":"10.1093/protein/gzad020","url":null,"abstract":"<p><p>Organophosphorus (OP) pesticides are still widely applied but pose a severe toxicological threat if misused. For in vivo detoxification, the application of hydrolytic enzymes potentially offers a promising treatment. A well-studied example is the phosphotriesterase of Brevundimonas diminuta (BdPTE). Whereas wild-type BdPTE can hydrolyse pesticides like paraoxon, chlorpyrifos-oxon and mevinphos with high catalytic efficiencies, kcat/KM >2 × 107 M-1 min-1, degradation of malaoxon is unsatisfactory (kcat/KM ≈ 1 × 104 M-1 min-1). Here, we report the rational engineering of BdPTE mutants with improved properties and their efficient production in Escherichia coli. As result, the mutant BdPTE(VRNVVLARY) exhibits 37-fold faster malaoxon hydrolysis (kcat/KM = 4.6 × 105 M-1 min-1), together with enhanced expression yield, improved thermal stability and reduced susceptibility to oxidation. Therefore, this BdPTE mutant constitutes a powerful candidate to develop a biocatalytic antidote for the detoxification of this common pesticide metabolite as well as related OP compounds.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71523393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: The variable conversion of neutralizing anti-SARS-CoV-2 single-chain antibodies to IgG provides insight into RBD epitope accessibility.","authors":"","doi":"10.1093/protein/gzad018","DOIUrl":"10.1093/protein/gzad018","url":null,"abstract":"","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":"36 ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71488998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tim Lugtenburg, Alejandro Gran-Scheuch, Ivana Drienovská
{"title":"Non-canonical amino acids as a tool for the thermal stabilization of enzymes.","authors":"Tim Lugtenburg, Alejandro Gran-Scheuch, Ivana Drienovská","doi":"10.1093/protein/gzad003","DOIUrl":"10.1093/protein/gzad003","url":null,"abstract":"<p><p>Biocatalysis has become a powerful alternative for green chemistry. Expanding the range of amino acids used in protein biosynthesis can improve industrially appealing properties such as enantioselectivity, activity and stability. This review will specifically delve into the thermal stability improvements that non-canonical amino acids (ncAAs) can confer to enzymes. Methods to achieve this end, such as the use of halogenated ncAAs, selective immobilization and rational design, will be discussed. Additionally, specific enzyme design considerations using ncAAs are discussed along with the benefits and limitations of the various approaches available to enhance the thermal stability of enzymes.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":"36 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9347753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jorge A Lerma Romero, Christian Meyners, Nicole Rupp, Felix Hausch, Harald Kolmar
{"title":"A protein engineering approach toward understanding FKBP51 conformational dynamics and mechanisms of ligand binding.","authors":"Jorge A Lerma Romero, Christian Meyners, Nicole Rupp, Felix Hausch, Harald Kolmar","doi":"10.1093/protein/gzad014","DOIUrl":"10.1093/protein/gzad014","url":null,"abstract":"<p><p>Most proteins are flexible molecules that coexist in an ensemble of several conformations. Point mutations in the amino acid sequence of a protein can trigger structural changes that drive the protein population to a conformation distinct from the native state. Here, we report a protein engineering approach to better understand protein dynamics and ligand binding of the FK506-binding protein 51 (FKBP51), a prospective target for stress-related diseases, metabolic disorders, some types of cancers and chronic pain. By randomizing selected regions of its ligand-binding domain and sorting yeast display libraries expressing these variants, mutants with high affinity to conformation-specific FKBP51 selective ligands were identified. These improved mutants are valuable tools for the discovery of novel selective ligands that preferentially and specifically bind the FKBP51 active site in its open conformation state. Moreover, they will help us understand the conformational dynamics and ligand binding mechanics of the FKBP51 binding pocket.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marit Möller, Malin Jönsson, Magnus Lundqvist, Blenda Hedin, Louise Larsson, Emma Larsson, Johan Rockberg, Mathias Uhlén, Sarah Lindbo, Hanna Tegel, Sophia Hober
{"title":"An easy-to-use high-throughput selection system for the discovery of recombinant protein binders from alternative scaffold libraries.","authors":"Marit Möller, Malin Jönsson, Magnus Lundqvist, Blenda Hedin, Louise Larsson, Emma Larsson, Johan Rockberg, Mathias Uhlén, Sarah Lindbo, Hanna Tegel, Sophia Hober","doi":"10.1093/protein/gzad011","DOIUrl":"10.1093/protein/gzad011","url":null,"abstract":"<p><p>Selection by phage display is a popular and widely used technique for the discovery of recombinant protein binders from large protein libraries for therapeutic use. The protein library is displayed on the surface of bacteriophages which are amplified using bacteria, preferably Escherichia coli, to enrich binders in several selection rounds. Traditionally, the so-called panning procedure during which the phages are incubated with the target protein, washed and eluted is done manually, limiting the throughput. High-throughput systems with automated panning already in use often require high-priced equipment. Moreover, the bottleneck of the selection process is usually the screening and characterization. Therefore, having a high-throughput panning procedure without a scaled screening platform does not necessarily increase the discovery rate. Here, we present an easy-to-use high-throughput selection system with automated panning using cost-efficient equipment integrated into a workflow with high-throughput sequencing and a tailored screening step using biolayer-interferometry. The workflow has been developed for selections using two recombinant libraries, ADAPT (Albumin-binding domain-derived affinity proteins) and CaRA (Calcium-regulated affinity) and has been evaluated for three new targets. The newly established semi-automated system drastically reduced the hands-on time and increased robustness while the selection outcome, when compared to manual handling, was very similar in deep sequencing analysis and generated binders in the nanomolar affinity range. The developed selection system has shown to be highly versatile and has the potential to be applied to other binding domains for the discovery of new protein binders.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7f/95/gzad011.PMC10545973.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10278675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-driven enzyme engineering to identify function-enhancing enzymes.","authors":"Yaoyukun Jiang, Xinchun Ran, Zhongyue J Yang","doi":"10.1093/protein/gzac009","DOIUrl":"10.1093/protein/gzac009","url":null,"abstract":"<p><p>Identifying function-enhancing enzyme variants is a 'holy grail' challenge in protein science because it will allow researchers to expand the biocatalytic toolbox for late-stage functionalization of drug-like molecules, environmental degradation of plastics and other pollutants, and medical treatment of food allergies. Data-driven strategies, including statistical modeling, machine learning, and deep learning, have largely advanced the understanding of the sequence-structure-function relationships for enzymes. They have also enhanced the capability of predicting and designing new enzymes and enzyme variants for catalyzing the transformation of new-to-nature reactions. Here, we reviewed the recent progresses of data-driven models that were applied in identifying efficiency-enhancing mutants for catalytic reactions. We also discussed existing challenges and obstacles faced by the community. Although the review is by no means comprehensive, we hope that the discussion can inform the readers about the state-of-the-art in data-driven enzyme engineering, inspiring more joint experimental-computational efforts to develop and apply data-driven modeling to innovate biocatalysts for synthetic and pharmaceutical applications.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":"36 ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365845/pdf/gzac009.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10316967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew R Chang, Hanzhong Ke, Laura Losada Miguéns, Christian Coherd, Katrina Nguyen, Maliwan Kamkaew, Rebecca Johnson, Nadia Storm, Anna Honko, Quan Zhu, Anthony Griffiths, Wayne A Marasco
{"title":"The variable conversion of neutralizing anti-SARS-CoV-2 single-chain antibodies to IgG provides insight into RBD epitope accessibility.","authors":"Matthew R Chang, Hanzhong Ke, Laura Losada Miguéns, Christian Coherd, Katrina Nguyen, Maliwan Kamkaew, Rebecca Johnson, Nadia Storm, Anna Honko, Quan Zhu, Anthony Griffiths, Wayne A Marasco","doi":"10.1093/protein/gzad008","DOIUrl":"10.1093/protein/gzad008","url":null,"abstract":"<p><p>Monoclonal antibody (mAb) therapies have rapidly become a powerful class of therapeutics with applications covering a diverse range of clinical indications. Though most widely used for the treatment of cancer, mAbs are also playing an increasing role in the defense of viral infections, most recently with palivizumab for prevention and treatment of severe RSV infections in neonatal and pediatric populations. In addition, during the COVID-19 pandemic, mAbs provided a bridge to the rollout of vaccines; however, their continued role as a therapeutic option for those at greatest risk of severe disease has become limited due to the emergence of neutralization resistant Omicron variants. Although there are many techniques for the identification of mAbs, including single B cell cloning and immunization of genetically engineered mice, the low cost, rapid throughput and technological simplicity of antibody phage display has led to its widespread adoption in mAb discovery efforts. Here we used our 27-billion-member naïve single-chain antibody (scFv) phage library to identify a panel of neutralizing anti-SARS-CoV-2 scFvs targeting diverse epitopes on the receptor binding domain (RBD). Although typically a routine process, we found that upon conversion to IgG, a number of our most potent clones failed to maintain their neutralization potency. Kinetic measurements confirmed similar affinity to the RBD; however, mechanistic studies provide evidence that the loss of neutralization is a result of structural limitations likely arising from initial choice of panning antigen. Thus this work highlights a risk of scFv-phage panning to mAb conversion and the importance of initial antigen selection.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":"36 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505556/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10355296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laura H Holst, Niklas G Madsen, Freja T Toftgård, Freja Rønne, Ioana-Malina Moise, Evamaria I Petersen, Peter Fojan
{"title":"De novo design of a polycarbonate hydrolase.","authors":"Laura H Holst, Niklas G Madsen, Freja T Toftgård, Freja Rønne, Ioana-Malina Moise, Evamaria I Petersen, Peter Fojan","doi":"10.1093/protein/gzad022","DOIUrl":"10.1093/protein/gzad022","url":null,"abstract":"<p><p>Enzymatic degradation of plastics is currently limited to the use of engineered natural enzymes. As of yet, all engineering approaches applied to plastic degrading enzymes retain the natural $alpha /beta $-fold. While mutations can be used to increase thermostability, an inherent maximum likely exists for the $alpha /beta $-fold. It is thus of interest to introduce catalytic activity toward plastics in a different protein fold to escape the sequence space of plastic degrading enzymes. Here, a method for designing highly thermostable enzymes that can degrade plastics is described. With the help of Rosetta an active site catalysing the hydrolysis of polycarbonate is introduced into a set of thermostable scaffolds. Through computational evaluation, a potential PCase was selected and produced recombinantly in Escherichia coli. Thermal analysis suggests that the design has a melting temperature of >95$^{circ }$C. Activity toward polycarbonate was confirmed using atomic force spectroscopy (AFM), proving the successful design of a PCase.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138464438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}