Protein Engineering Design & Selection最新文献

Correction to: Growing ecosystem of deep learning methods for modeling protein-protein interactions. 更正：用于蛋白质-蛋白质相互作用建模的深度学习方法生态系统日益壮大。

IF 2.6 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae016

引用次数: 0

Computational methods for protein design. 蛋白质设计计算方法

IF 2.6 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae011

Noelia Ferruz, Amelie Stein

引用次数: 0

An engineered NKp46 antibody for construction of multi-specific NK cell engagers. 用于构建多特异性 NK 细胞吞噬体的工程化 NKp46 抗体。

IF 2.6 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae013

Robert B Lee, Sainiteesh Maddineni, Madeleine Landry, Celeste Diaz, Aanya Tashfeen, Sean A Yamada-Hunter, Crystal L Mackall, Corinne Beinat, John B Sunwoo, Jennifer R Cochran

{"title":"An engineered NKp46 antibody for construction of multi-specific NK cell engagers.","authors":"Robert B Lee, Sainiteesh Maddineni, Madeleine Landry, Celeste Diaz, Aanya Tashfeen, Sean A Yamada-Hunter, Crystal L Mackall, Corinne Beinat, John B Sunwoo, Jennifer R Cochran","doi":"10.1093/protein/gzae013","DOIUrl":"10.1093/protein/gzae013","url":null,"abstract":"Recent developments in cancer immunotherapy have highlighted the potential of harnessing natural killer (NK) cells in the treatment of neoplastic malignancies. Of these, bispecific antibodies, and NK cell engager (NKCE) protein therapeutics in particular, have been of interest. Here, we used phage display and yeast surface display to engineer RLN131, a unique cross-reactive antibody that binds to human, mouse, and cynomolgus NKp46, an activating receptor found on NK cells. RLN131 induced proliferation and activation of primary NK cells, and was used to create bispecific NKCE constructs of varying configurations and valency. All NKCEs were able to promote greater NK cell cytotoxicity against tumor cells than an unmodified anti-CD20 monoclonal antibody, and activity was observed irrespective of whether the constructs contained a functional Fc domain. Competition binding and fine epitope mapping studies were used to demonstrate that RLN131 binds to a conserved epitope on NKp46, underlying its species cross-reactivity.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142009903","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}

引用次数: 0

Design of functional intrinsically disordered proteins. 设计功能性本征无序蛋白。

IF 2.4 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae004

Ankush Garg, Nicolas S González-Foutel, Maciej B Gielnik, Magnus Kjaergaard

{"title":"Design of functional intrinsically disordered proteins.","authors":"Ankush Garg, Nicolas S González-Foutel, Maciej B Gielnik, Magnus Kjaergaard","doi":"10.1093/protein/gzae004","DOIUrl":"10.1093/protein/gzae004","url":null,"abstract":"Many proteins do not fold into a fixed three-dimensional structure, but rather function in a highly disordered state. These intrinsically disordered proteins pose a unique challenge to protein engineering and design: How can proteins be designed de novo if not by tailoring their structure? Here, we will review the nascent field of design of intrinsically disordered proteins with focus on applications in biotechnology and medicine. The design goals should not necessarily be the same as for de novo design of folded proteins as disordered proteins have unique functional strengths and limitations. We focus on functions where intrinsically disordered proteins are uniquely suited including disordered linkers, desiccation chaperones, sensors of the chemical environment, delivery of pharmaceuticals, and constituents of biomolecular condensates. Design of functional intrinsically disordered proteins relies on a combination of computational tools and heuristics gleaned from sequence-function studies. There are few cases where intrinsically disordered proteins have made it into industrial applications. However, we argue that disordered proteins can perform many roles currently performed by organic polymers, and that these proteins might be more designable due to their modularity.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140023290","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}

引用次数: 0

Sequence-activity mapping via depletion reveals striking mutational tolerance and elucidates functional motifs in Tur1a antimicrobial peptide. 通过损耗绘制的序列-活性图揭示了惊人的突变耐受性，并阐明了 Tur1a 抗菌肽中的功能基团。

IF 2.4 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae006

Jonathan Collins, Benjamin J Hackel

{"title":"Sequence-activity mapping via depletion reveals striking mutational tolerance and elucidates functional motifs in Tur1a antimicrobial peptide.","authors":"Jonathan Collins, Benjamin J Hackel","doi":"10.1093/protein/gzae006","DOIUrl":"10.1093/protein/gzae006","url":null,"abstract":"Proline-rich antimicrobial peptides (PrAMPs) are attractive antibiotic candidates that target gram-negative bacteria ribosomes. We elucidated the sequence-function landscape of 43 000 variants of a recently discovered family member, Tur1a, using the validated SAMP-Dep platform that measures intracellular AMP potency in a high-throughput manner via self-depletion of the cellular host. The platform exhibited high replicate reproducibility (ρ = 0.81) and correlation between synonymous genetic variants (R2 = 0.93). Only two segments within Tur1a exhibited stringent mutational requirements to sustain potency: residues 9YLP11 and 19FP20. This includes the aromatic residue in the hypothesized binding domain but not the PRP domain. Along with unexpected mutational tolerance of PRP, the data contrast hypothesized importance of the 1RRIR4 motif and arginines in general. In addition to mutational tolerance of residue segments with presumed significance, 77% of mutations are functionally neutral. Multimutant performance mainly shows compounding effects from removed combinations of prolines and arginines in addition to the two segments of residues showing individual importance. Several variants identified as active from SAMP-Dep were externally produced and maintained activity when applied to susceptible species exogenously.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10964197/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140133313","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}

引用次数: 0

Sequence-developability mapping of affibody and fibronectin paratopes via library-scale variant characterization. 通过文库规模的变体特征描述，绘制亲和素和纤连蛋白旁位点的序列-可发展性图谱。

IF 2.6 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae010

Gregory H Nielsen, Zachary D Schmitz, Benjamin J Hackel

{"title":"Sequence-developability mapping of affibody and fibronectin paratopes via library-scale variant characterization.","authors":"Gregory H Nielsen, Zachary D Schmitz, Benjamin J Hackel","doi":"10.1093/protein/gzae010","DOIUrl":"10.1093/protein/gzae010","url":null,"abstract":"Protein developability is requisite for use in therapeutic, diagnostic, or industrial applications. Many developability assays are low throughput, which limits their utility to the later stages of protein discovery and evolution. Recent approaches enable experimental or computational assessment of many more variants, yet the breadth of applicability across protein families and developability metrics is uncertain. Here, three library-scale assays-on-yeast protease, split green fluorescent protein (GFP), and non-specific binding-were evaluated for their ability to predict two key developability outcomes (thermal stability and recombinant expression) for the small protein scaffolds affibody and fibronectin. The assays' predictive capabilities were assessed via both linear correlation and machine learning models trained on the library-scale assay data. The on-yeast protease assay is highly predictive of thermal stability for both scaffolds, and the split-GFP assay is informative of affibody thermal stability and expression. The library-scale data was used to map sequence-developability landscapes for affibody and fibronectin binding paratopes, which guides future design of variants and libraries.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11170491/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141249033","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}

引用次数: 0

High titer expression of antibodies using linear expression cassettes for early-stage functional screening. 使用线性表达盒高滴度表达抗体，用于早期功能筛选。

IF 2.6 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae012

Shuang Wu, Joni Tsukuda, Nancy Chiang, To Hao, Yongmei Chen, Isidro Hötzel, Sowmya Balasubramanian, Gerald Nakamura, Ryan L Kelly

{"title":"High titer expression of antibodies using linear expression cassettes for early-stage functional screening.","authors":"Shuang Wu, Joni Tsukuda, Nancy Chiang, To Hao, Yongmei Chen, Isidro Hötzel, Sowmya Balasubramanian, Gerald Nakamura, Ryan L Kelly","doi":"10.1093/protein/gzae012","DOIUrl":"10.1093/protein/gzae012","url":null,"abstract":"Antibody discovery processes are continually advancing, with an ever-increasing number of potential binding sequences being identified out of in vivo, in vitro, and in silico sources. In this work we describe a rapid system for high yield recombinant antibody (IgG and Fab) expression using Gibson assembled linear DNA fragments (GLFs). The purified recombinant antibody yields from 1 ml expression for this process are approximately five to ten-fold higher than previous methods, largely due to novel usage of protecting flanking sequences on the 5' and 3' ends of the GLF. This method is adaptable for small scale (1 ml) expression and purification for rapid evaluation of binding and activity, in addition to larger scales (30 ml) for more sensitive assays requiring milligram quantities of antibody purified over two columns (Protein A and size exclusion chromatography). When compared to plasmid-based expression, these methods provide nearly equivalent yield of high-quality material across multiple applications, allowing for reduced costs and turnaround times to enhance the antibody discovery process.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141983981","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}

引用次数: 0

DexDesign: an OSPREY-based algorithm for designing de novo D-peptide inhibitors. DexDesign：一种基于 OSPREY 的算法，用于设计全新的 D 肽抑制剂。

IF 2.6 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae007

Nathan Guerin, Henry Childs, Pei Zhou, Bruce R Donald

{"title":"DexDesign: an OSPREY-based algorithm for designing de novo D-peptide inhibitors.","authors":"Nathan Guerin, Henry Childs, Pei Zhou, Bruce R Donald","doi":"10.1093/protein/gzae007","DOIUrl":"10.1093/protein/gzae007","url":null,"abstract":"With over 270 unique occurrences in the human genome, peptide-recognizing PDZ domains play a central role in modulating polarization, signaling, and trafficking pathways. Mutations in PDZ domains lead to diseases such as cancer and cystic fibrosis, making PDZ domains attractive targets for therapeutic intervention. D-peptide inhibitors offer unique advantages as therapeutics, including increased metabolic stability and low immunogenicity. Here, we introduce DexDesign, a novel OSPREY-based algorithm for computationally designing de novo D-peptide inhibitors. DexDesign leverages three novel techniques that are broadly applicable to computational protein design: the Minimum Flexible Set, K*-based Mutational Scan, and Inverse Alanine Scan. We apply these techniques and DexDesign to generate novel D-peptide inhibitors of two biomedically important PDZ domain targets: CAL and MAST2. We introduce a framework for analyzing de novo peptides-evaluation along a replication/restitution axis-and apply it to the DexDesign-generated D-peptides. Notably, the peptides we generated are predicted to bind their targets tighter than their targets' endogenous ligands, validating the peptides' potential as lead inhibitors. We also provide an implementation of DexDesign in the free and open source computational protein design software OSPREY.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11099876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960872","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}

引用次数: 0

Correction to: De novo design of a polycarbonate hydrolase. 更正：聚碳酸酯水解酶的全新设计。

IF 2.4 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae001

引用次数: 0

TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks. TIMED-Design：利用卷积神经网络设计灵活易用的蛋白质序列。

IF 2.4 4区生物学

Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae002

Leonardo V Castorina, Suleyman Mert Ünal, Kartic Subr, Christopher W Wood

{"title":"TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks.","authors":"Leonardo V Castorina, Suleyman Mert Ünal, Kartic Subr, Christopher W Wood","doi":"10.1093/protein/gzae002","DOIUrl":"10.1093/protein/gzae002","url":null,"abstract":"Sequence design is a crucial step in the process of designing or engineering proteins. Traditionally, physics-based methods have been used to solve for optimal sequences, with the main disadvantages being that they are computationally intensive for the end user. Deep learning-based methods offer an attractive alternative, outperforming physics-based methods at a significantly lower computational cost. In this paper, we explore the application of Convolutional Neural Networks (CNNs) for sequence design. We describe the development and benchmarking of a range of networks, as well as reimplementations of previously described CNNs. We demonstrate the flexibility of representing proteins in a three-dimensional voxel grid by encoding additional design constraints into the input data. Finally, we describe TIMED-Design, a web application and command line tool for exploring and applying the models described in this paper. The user interface will be available at the URL: https://pragmaticproteindesign.bio.ed.ac.uk/timed. The source code for TIMED-Design is available at https://github.com/wells-wood-research/timed-design.","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10939383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139577130","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}

引用次数: 0