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Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT

BACKGROUND: TIGIT, as a novel immune checkpoint molecule involved in T cell and NK cell anergy, could induce the immune tolerance and escape through binding with its ligand PVR. Blockade of TIGIT/PVR is considered as a promising strategy in cancer immunotherapy. However, to facilitate the design of...

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Autores principales: Zhou, Xiaowen, Du, Jiangfeng, Zhou, Xiuman, Niu, Xiaoshuang, Li, Wanqiong, Chen, Chunxia, Lv, Sifan, Wu, Aijun, Gou, Shanshan, Sun, Yixuan, Zhai, Wenjie, Qiu, Lu, Qi, Yuanming, Zhao, Wenshan, Gao, Yanfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869511/
https://www.ncbi.nlm.nih.gov/pubmed/33557880
http://dx.doi.org/10.1186/s12964-020-00701-y
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author Zhou, Xiaowen
Du, Jiangfeng
Zhou, Xiuman
Niu, Xiaoshuang
Li, Wanqiong
Chen, Chunxia
Lv, Sifan
Wu, Aijun
Gou, Shanshan
Sun, Yixuan
Zhai, Wenjie
Qiu, Lu
Qi, Yuanming
Zhao, Wenshan
Gao, Yanfeng
author_facet Zhou, Xiaowen
Du, Jiangfeng
Zhou, Xiuman
Niu, Xiaoshuang
Li, Wanqiong
Chen, Chunxia
Lv, Sifan
Wu, Aijun
Gou, Shanshan
Sun, Yixuan
Zhai, Wenjie
Qiu, Lu
Qi, Yuanming
Zhao, Wenshan
Gao, Yanfeng
author_sort Zhou, Xiaowen
collection PubMed
description BACKGROUND: TIGIT, as a novel immune checkpoint molecule involved in T cell and NK cell anergy, could induce the immune tolerance and escape through binding with its ligand PVR. Blockade of TIGIT/PVR is considered as a promising strategy in cancer immunotherapy. However, to facilitate the design of inhibitors targeting TIGIT/PVR, the structural characteristics and binding mechanism still need to be further studied. METHODS: In this study, molecular dynamics (MD) simulations and in silico mutagenesis were used to analyze the interaction between TIGIT and its ligand PVR. Then, PVR mutants were designed and their activities were determined by using TIGIT overexpressed Jurkat cells. RESULTS: The results suggested that the loops of PVR (CC′ loop, C′C″ loop, and FG loop) underwent a large intra-molecular rearrangement, and more hydrogen bond crosslinking between PVR and TIGIT were formed during MD simulations. The potential residues for PVR to interact with TIGIT were identified and utilized to predict high affinity PVR mutants. Through the biological activity evaluation, four PVR mutants ((PVR)S72W, (PVR)S72R, (PVR)G131V and (PVR)S132Q) with enhanced affinity to TIGIT were discovered, which could elicit more potent inhibitory effects compared with the wild type PVR. CONCLUSIONS: The MD simulations analysis provided new insights into the TIGIT/PVR interaction model, and the identified PVR mutants ((PVR)S72W, (PVR)S72R, (PVR)G131V and (PVR)S132Q) could serve as new candidates for immunotherapy to block TIGIT/PVR.
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spelling pubmed-78695112021-02-09 Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT Zhou, Xiaowen Du, Jiangfeng Zhou, Xiuman Niu, Xiaoshuang Li, Wanqiong Chen, Chunxia Lv, Sifan Wu, Aijun Gou, Shanshan Sun, Yixuan Zhai, Wenjie Qiu, Lu Qi, Yuanming Zhao, Wenshan Gao, Yanfeng Cell Commun Signal Research BACKGROUND: TIGIT, as a novel immune checkpoint molecule involved in T cell and NK cell anergy, could induce the immune tolerance and escape through binding with its ligand PVR. Blockade of TIGIT/PVR is considered as a promising strategy in cancer immunotherapy. However, to facilitate the design of inhibitors targeting TIGIT/PVR, the structural characteristics and binding mechanism still need to be further studied. METHODS: In this study, molecular dynamics (MD) simulations and in silico mutagenesis were used to analyze the interaction between TIGIT and its ligand PVR. Then, PVR mutants were designed and their activities were determined by using TIGIT overexpressed Jurkat cells. RESULTS: The results suggested that the loops of PVR (CC′ loop, C′C″ loop, and FG loop) underwent a large intra-molecular rearrangement, and more hydrogen bond crosslinking between PVR and TIGIT were formed during MD simulations. The potential residues for PVR to interact with TIGIT were identified and utilized to predict high affinity PVR mutants. Through the biological activity evaluation, four PVR mutants ((PVR)S72W, (PVR)S72R, (PVR)G131V and (PVR)S132Q) with enhanced affinity to TIGIT were discovered, which could elicit more potent inhibitory effects compared with the wild type PVR. CONCLUSIONS: The MD simulations analysis provided new insights into the TIGIT/PVR interaction model, and the identified PVR mutants ((PVR)S72W, (PVR)S72R, (PVR)G131V and (PVR)S132Q) could serve as new candidates for immunotherapy to block TIGIT/PVR. BioMed Central 2021-02-08 /pmc/articles/PMC7869511/ /pubmed/33557880 http://dx.doi.org/10.1186/s12964-020-00701-y Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhou, Xiaowen
Du, Jiangfeng
Zhou, Xiuman
Niu, Xiaoshuang
Li, Wanqiong
Chen, Chunxia
Lv, Sifan
Wu, Aijun
Gou, Shanshan
Sun, Yixuan
Zhai, Wenjie
Qiu, Lu
Qi, Yuanming
Zhao, Wenshan
Gao, Yanfeng
Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
title Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
title_full Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
title_fullStr Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
title_full_unstemmed Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
title_short Computer-aided design of PVR mutants with enhanced binding affinity to TIGIT
title_sort computer-aided design of pvr mutants with enhanced binding affinity to tigit
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869511/
https://www.ncbi.nlm.nih.gov/pubmed/33557880
http://dx.doi.org/10.1186/s12964-020-00701-y
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