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Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions

Establishing structure–activity relationships is crucial to understand and optimize the activity of peptide-based inhibitors of protein–protein interactions. Single alanine substitutions provide limited information on the residues that tolerate simultaneous modifications with retention of biological...

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Autores principales: Ye, Xiyun, Lee, Yen-Chun, Gates, Zachary P., Ling, Yingjie, Mortensen, Jennifer C., Yang, Fan-Shen, Lin, Yu-Shan, Pentelute, Bradley L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814900/
https://www.ncbi.nlm.nih.gov/pubmed/36697672
http://dx.doi.org/10.1038/s42004-022-00737-w
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author Ye, Xiyun
Lee, Yen-Chun
Gates, Zachary P.
Ling, Yingjie
Mortensen, Jennifer C.
Yang, Fan-Shen
Lin, Yu-Shan
Pentelute, Bradley L.
author_facet Ye, Xiyun
Lee, Yen-Chun
Gates, Zachary P.
Ling, Yingjie
Mortensen, Jennifer C.
Yang, Fan-Shen
Lin, Yu-Shan
Pentelute, Bradley L.
author_sort Ye, Xiyun
collection PubMed
description Establishing structure–activity relationships is crucial to understand and optimize the activity of peptide-based inhibitors of protein–protein interactions. Single alanine substitutions provide limited information on the residues that tolerate simultaneous modifications with retention of biological activity. To guide optimization of peptide binders, we use combinatorial peptide libraries of over 4,000 variants—in which each position is varied with either the wild-type residue or alanine—with a label-free affinity selection platform to study protein–ligand interactions. Applying this platform to a peptide binder to the oncogenic protein MDM2, several multi-alanine-substituted analogs with picomolar binding affinity were discovered. We reveal a non-additive substitution pattern in the selected sequences. The alanine substitution tolerances for peptide ligands of the 12ca5 antibody and 14-3-3 regulatory protein are also characterized, demonstrating the general applicability of this new platform. We envision that binary combinatorial alanine scanning will be a powerful tool for investigating structure–activity relationships.
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spelling pubmed-98149002023-01-10 Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions Ye, Xiyun Lee, Yen-Chun Gates, Zachary P. Ling, Yingjie Mortensen, Jennifer C. Yang, Fan-Shen Lin, Yu-Shan Pentelute, Bradley L. Commun Chem Article Establishing structure–activity relationships is crucial to understand and optimize the activity of peptide-based inhibitors of protein–protein interactions. Single alanine substitutions provide limited information on the residues that tolerate simultaneous modifications with retention of biological activity. To guide optimization of peptide binders, we use combinatorial peptide libraries of over 4,000 variants—in which each position is varied with either the wild-type residue or alanine—with a label-free affinity selection platform to study protein–ligand interactions. Applying this platform to a peptide binder to the oncogenic protein MDM2, several multi-alanine-substituted analogs with picomolar binding affinity were discovered. We reveal a non-additive substitution pattern in the selected sequences. The alanine substitution tolerances for peptide ligands of the 12ca5 antibody and 14-3-3 regulatory protein are also characterized, demonstrating the general applicability of this new platform. We envision that binary combinatorial alanine scanning will be a powerful tool for investigating structure–activity relationships. Nature Publishing Group UK 2022-10-14 /pmc/articles/PMC9814900/ /pubmed/36697672 http://dx.doi.org/10.1038/s42004-022-00737-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ye, Xiyun
Lee, Yen-Chun
Gates, Zachary P.
Ling, Yingjie
Mortensen, Jennifer C.
Yang, Fan-Shen
Lin, Yu-Shan
Pentelute, Bradley L.
Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
title Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
title_full Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
title_fullStr Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
title_full_unstemmed Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
title_short Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
title_sort binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814900/
https://www.ncbi.nlm.nih.gov/pubmed/36697672
http://dx.doi.org/10.1038/s42004-022-00737-w
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