Protein Engineering Design & Selection最新文献

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Antibody numbering schemes: advances, comparisons and tools for antibody engineering. 抗体编号方案:抗体工程的进展、比较和工具。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzaf005
Zirui Zhu, Hossein Ashrafian, Navid Mohammadian Tabrizi, Emily Matas, Louisa Girard, Haowei Ma, Edouard C Nice
{"title":"Antibody numbering schemes: advances, comparisons and tools for antibody engineering.","authors":"Zirui Zhu, Hossein Ashrafian, Navid Mohammadian Tabrizi, Emily Matas, Louisa Girard, Haowei Ma, Edouard C Nice","doi":"10.1093/protein/gzaf005","DOIUrl":"10.1093/protein/gzaf005","url":null,"abstract":"<p><p>The evolution of antibody engineering has significantly enhanced the development of antibody-based therapeutics, enabling the creation of novel antibody formats tailored for specific applications. Since the introduction of the Kabat numbering scheme in 1977, various schemes have been developed and modified, forming the foundation for multiple antibody engineering projects. The tools associated with these schemes further facilitate the engineering process. However, discrepancies among current numbering schemes can lead to confusion. This study examines various numbering schemes and related tools, providing new insights into antibody variable domains. Improved understanding of antibody numbering and related tools holds significant potential for more precise and efficient antibody design, thereby advancing antibody-based therapeutics and diagnostics.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11997657/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765803","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
A facile yeast-display approach for antibody mask discovery. 一种简单的酵母展示方法用于抗体掩膜的发现。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzaf006
Nithya M Badarinath, Basudeb Mondal, Christopher M Yellman, Kendreze L Holland, Hee Jun Lee, Hathaichanok Phuengkham, Andrew P Cazier, Jaewoo Son, Jacob R Smith, John R Cox, Andrew J Kristof, Yusef A Haikal, Gabriel A Kwong, John Blazeck
{"title":"A facile yeast-display approach for antibody mask discovery.","authors":"Nithya M Badarinath, Basudeb Mondal, Christopher M Yellman, Kendreze L Holland, Hee Jun Lee, Hathaichanok Phuengkham, Andrew P Cazier, Jaewoo Son, Jacob R Smith, John R Cox, Andrew J Kristof, Yusef A Haikal, Gabriel A Kwong, John Blazeck","doi":"10.1093/protein/gzaf006","DOIUrl":"10.1093/protein/gzaf006","url":null,"abstract":"<p><p>Tuning in vivo activity of protein therapeutics can improve their safety. In this vein, it is possible to add a 'mask' moiety to a protein therapeutic such that its ability to bind its target is prevented until the mask has been proteolytically removed, for instance by a tumor-associated protease. As such, new methods to isolate functional masking sequences can aid development of protein therapies. Here, we describe a yeast display-based method to discover peptide sequences that prevent binding of antibody fragments to their antigen target. Our method includes an in situ ability to screen for restoration of binding by scFvs after proteolytic mask removal, and it takes advantage of the antigenic target itself to guide mask discovery. First, we genetically linked a yeast-displayed αPSCA scFv to overlapping 'tiles' of its target. By selecting for reduced antigen binding via flow cytometry, we discovered two peptide masks that we confirmed to be linear epitopes of the PSCA antigen. We then expanded our method towards developing masks for three-dimensional epitopes by using a co-crystal structure of an αHer2 antibody in complex with its antigen to guide combinatorial mask design. In sum, our efforts show the feasibility of employing yeast-displayed, antigen-based libraries to find antibody masks.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12123510/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144095737","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
CDRxAbs: antibody small-molecule conjugates with computationally designed target-binding synergy. CDRxAbs:具有计算设计的靶向结合协同作用的抗体小分子偶联物。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzaf004
Jingzhou Wang, Aiden J Aceves, Nicholas J Friesenhahn, Stephen L Mayo
{"title":"CDRxAbs: antibody small-molecule conjugates with computationally designed target-binding synergy.","authors":"Jingzhou Wang, Aiden J Aceves, Nicholas J Friesenhahn, Stephen L Mayo","doi":"10.1093/protein/gzaf004","DOIUrl":"10.1093/protein/gzaf004","url":null,"abstract":"<p><p>Bioconjugates as therapeutic modalities combine the advantages and offset the disadvantages of their constituent parts to achieve a refined spectrum of action. We combine the concept of bioconjugation with the full atomic simulation capability of computational protein design to define a new class of molecular recognition agents: CDR-extended antibodies, abbreviated as CDRxAbs. A CDRxAb incorporates a covalently attached small molecule into an antibody/target binding interface using computational protein design to create an antibody small-molecule conjugate that binds tighter to the target of the small molecule than the small molecule would alone. CDRxAbs are also expected to increase the target binding specificity of their associated small molecules. In a proof-of-concept study using monomeric streptavidin/biotin pairs at either a nanomolar or micromolar-level initial affinity, we designed nanobody-biotin conjugates that exhibited >20-fold affinity improvement against their protein targets with step-wise optimization of binding kinetics and overall protein stability. The workflow explored through this process promises a novel approach to optimize small-molecule based therapeutics and to explore new chemical and target space for molecular-recognition agents in general.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671679","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
Engineering of a lysosomal-targeted GAA enzyme. 溶酶体靶向GAA酶的工程设计。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzaf001
Nicholas Marze, Ilya Tikh, Susan Benard, Yuxing Cheng, Vincent Yu, Waijiao Cai, Edward Lavallie, Erin Lopez, Jing Wang, Tatyana Zamkovaya, Suryanarayan Somanathan
{"title":"Engineering of a lysosomal-targeted GAA enzyme.","authors":"Nicholas Marze, Ilya Tikh, Susan Benard, Yuxing Cheng, Vincent Yu, Waijiao Cai, Edward Lavallie, Erin Lopez, Jing Wang, Tatyana Zamkovaya, Suryanarayan Somanathan","doi":"10.1093/protein/gzaf001","DOIUrl":"10.1093/protein/gzaf001","url":null,"abstract":"<p><p>Pompe disease is a tissue glycogen disorder caused by genetic insufficiency of the GAA enzyme. GAA enzyme replacement therapies for Pompe disease have been limited by poor lysosomal trafficking of the recombinant GAA molecule through the native mannose-6-phosphate-mediated pathway. Here, we describe the successful rational engineering of a chimeric GAA enzyme that utilizes the binding affinity of a modified IGF-II moiety to its native receptor to bypass the mannose-6-phosphate-mediated lysosomal trafficking pathway, conferring a significant increase in cellular uptake of the GAA enzyme. We also demonstrate the ablation of binding between our modified IGF-II tag and two off-target receptors: IGF-I receptor and insulin receptor, as well as preserved enzymatic activity of the chimeric GAA molecule.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025843","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
Tuning ProteinMPNN to reduce protein visibility via MHC Class I through direct preference optimization. 通过直接偏好优化,调整ProteinMPNN通过MHC I类降低蛋白质可见性。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzaf003
Hans-Christof Gasser, Diego A Oyarzún, Javier Antonio Alfaro, Ajitha Rajan
{"title":"Tuning ProteinMPNN to reduce protein visibility via MHC Class I through direct preference optimization.","authors":"Hans-Christof Gasser, Diego A Oyarzún, Javier Antonio Alfaro, Ajitha Rajan","doi":"10.1093/protein/gzaf003","DOIUrl":"10.1093/protein/gzaf003","url":null,"abstract":"<p><p>ProteinMPNN is widely used in protein design workflows due to its ability to identify amino acid sequences that fold into specific 3D protein structures. In our work, we adjust ProteinMPNN to design proteins for a given 3D protein structure with reduced immune-visibility to cytotoxic T lymphocytes that recognize proteins via the MHC-I pathway. To achieve this, we developed a novel framework that integrates direct preference optimization (DPO)-a tuning method originally designed for large language models-with MHC-I peptide presentation predictions. This approach fosters the generation of designs with fewer MHC-I epitopes while preserving the protein's original structure. Our results demonstrate that DPO effectively reduces MHC-I visibility without compromising the structural integrity of the proteins.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11970896/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651884","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
Optimized single-cell gates for yeast display screening. 优化单细胞门酵母显示筛选。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzae018
Xiaoli Pan, Matheus O de Souza, Francisco M Figueiras, Aric Huang, Bailey B Banach, Jacy R Wolfe, Azady Pirhanov, Bharat Madan, Brandon J DeKosky
{"title":"Optimized single-cell gates for yeast display screening.","authors":"Xiaoli Pan, Matheus O de Souza, Francisco M Figueiras, Aric Huang, Bailey B Banach, Jacy R Wolfe, Azady Pirhanov, Bharat Madan, Brandon J DeKosky","doi":"10.1093/protein/gzae018","DOIUrl":"10.1093/protein/gzae018","url":null,"abstract":"<p><p>Yeast display is a widely used technology in antibody discovery and protein engineering. The cell size of yeast enables fluorescence-activated cell sorting (FACS) to precisely screen gene libraries, including for multi-parameter selection of protein phenotypes. However, yeast cells show a broader size distribution than mammalian cells that complicates single-cell gate determination for FACS. In this report, we analyze several yeast display gating options in detail and present an optimized strategy to select single yeast cells via flow cytometry. These data reveal optimized single-cell gating strategies to support robust and high-efficiency yeast display studies.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11723770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820239","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
Enhancing the Thermostability and solubility of a single-domain catalytic antibody. 提高单结构域催化抗体的热稳定性和溶解度。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2025-01-10 DOI: 10.1093/protein/gzaf002
Yunhang Cui, Xuchen Zhou, Sainan Li, Jingfei Chen, Mingming Qin, Liaoyuan An, Yefei Wang, Lishan Yao
{"title":"Enhancing the Thermostability and solubility of a single-domain catalytic antibody.","authors":"Yunhang Cui, Xuchen Zhou, Sainan Li, Jingfei Chen, Mingming Qin, Liaoyuan An, Yefei Wang, Lishan Yao","doi":"10.1093/protein/gzaf002","DOIUrl":"10.1093/protein/gzaf002","url":null,"abstract":"<p><p>Catalytic antibodies have the ability to bind to and degrade antigens, offering a significant potential for therapeutic use. The light chain of an antibody, UA15-L, can cleave the peptide bond of Helicobacter pylori urease, thus inhibiting the spread of the bacteria. However, the variable domain of UA15-L has a poor thermostability and solubility. In this study, we employed a combined computational and experimental approach to enhance the protein's stability and solubility properties. The protein unfolding hotspots were initially identified using molecular dynamics simulations. Following this, a disulfide bond was designed in an unfolding hotspot to stabilize the protein. Subsequently, protein solubility was enhanced with the assistance of computational methods by introducing polar or charged residues on the protein surface. The combination of multiple mutations resulted in UA15-L variable domain variants with improved thermostability, solubility, expression, and enhanced activity at elevated temperatures. These variants represent promising candidates for further engineering of catalytic activity and specificity.</p>","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442797","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
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
{"title":"Correction to: Growing ecosystem of deep learning methods for modeling protein-protein interactions.","authors":"","doi":"10.1093/protein/gzae016","DOIUrl":"https://doi.org/10.1093/protein/gzae016","url":null,"abstract":"","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":"37 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395277","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
Correction to: Variable heavy-variable light domain and Fab-arm CrossMabs with charged residue exchanges to enforce correct light chain assembly. 更正为可变重型-可变轻型结构域和带电荷残基交换的 Fab 臂 CrossMabs,以执行正确的轻链组装。
IF 2.6 4区 生物学
Protein Engineering Design & Selection Pub Date : 2024-01-29 DOI: 10.1093/protein/gzae017
{"title":"Correction to: Variable heavy-variable light domain and Fab-arm CrossMabs with charged residue exchanges to enforce correct light chain assembly.","authors":"","doi":"10.1093/protein/gzae017","DOIUrl":"https://doi.org/10.1093/protein/gzae017","url":null,"abstract":"","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":"37 ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558447/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142632824","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
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
{"title":"Computational methods for protein design.","authors":"Noelia Ferruz, Amelie Stein","doi":"10.1093/protein/gzae011","DOIUrl":"10.1093/protein/gzae011","url":null,"abstract":"","PeriodicalId":54543,"journal":{"name":"Protein Engineering Design & Selection","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141565127","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
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