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The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)

BACKGROUND: Programmed cell death protein 1 (PD-1), a negative co-stimulatory molecule, plays crucial roles in immune escape. Blockade of the interaction between PD-1 and PD-L1 shows exciting clinical responses in a fraction of cancer patients and the success makes PD-1 as a valuable target in immun...

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Autores principales: Du, Jiangfeng, Qin, Yaping, Wu, Yahong, Zhao, Wenshan, Zhai, Wenjie, Qi, Yuanming, Wang, Chuchu, Gao, Yanfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992718/
https://www.ncbi.nlm.nih.gov/pubmed/29879980
http://dx.doi.org/10.1186/s12964-018-0239-9
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author Du, Jiangfeng
Qin, Yaping
Wu, Yahong
Zhao, Wenshan
Zhai, Wenjie
Qi, Yuanming
Wang, Chuchu
Gao, Yanfeng
author_facet Du, Jiangfeng
Qin, Yaping
Wu, Yahong
Zhao, Wenshan
Zhai, Wenjie
Qi, Yuanming
Wang, Chuchu
Gao, Yanfeng
author_sort Du, Jiangfeng
collection PubMed
description BACKGROUND: Programmed cell death protein 1 (PD-1), a negative co-stimulatory molecule, plays crucial roles in immune escape. Blockade of the interaction between PD-1 and PD-L1 shows exciting clinical responses in a fraction of cancer patients and the success makes PD-1 as a valuable target in immune checkpoint therapy. For the rational design of PD-1 targeting modulators, the ligand binding mechanism of PD-1 should be well understood in prior. METHODS: In this study, we applied 50 ns molecular dynamics simulations to observe the structural properties of PD-1 molecule in both apo and ligand bound states, and we studied the structural features of PD-1 in human and mouse respectively. RESULTS: The results showed that the apo hPD-1 was more flexible than that in PD-L1 bound state. We unexpectedly found that K135 was important for binding energy although it was not at the binding interface. Moreover, the residues which stabilized the interactions with PD-L1 were distinguished. Taking the dynamic features of these residues into account, we identified several residual sites where mutations may gain the function of ligand binding. The in vitro binding experiments revealed the mutants M70I, S87 W, A129L, A132L, and K135 M were better in ligand binding than the wild type PD-1. CONCLUSIONS: The structural information from MD simulation combined with in silico mutagenesis provides guidance to design engineered PD-1 mutants to modulate the PD-1/PD-L1 pathway. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12964-018-0239-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-59927182018-06-21 The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD) Du, Jiangfeng Qin, Yaping Wu, Yahong Zhao, Wenshan Zhai, Wenjie Qi, Yuanming Wang, Chuchu Gao, Yanfeng Cell Commun Signal Research BACKGROUND: Programmed cell death protein 1 (PD-1), a negative co-stimulatory molecule, plays crucial roles in immune escape. Blockade of the interaction between PD-1 and PD-L1 shows exciting clinical responses in a fraction of cancer patients and the success makes PD-1 as a valuable target in immune checkpoint therapy. For the rational design of PD-1 targeting modulators, the ligand binding mechanism of PD-1 should be well understood in prior. METHODS: In this study, we applied 50 ns molecular dynamics simulations to observe the structural properties of PD-1 molecule in both apo and ligand bound states, and we studied the structural features of PD-1 in human and mouse respectively. RESULTS: The results showed that the apo hPD-1 was more flexible than that in PD-L1 bound state. We unexpectedly found that K135 was important for binding energy although it was not at the binding interface. Moreover, the residues which stabilized the interactions with PD-L1 were distinguished. Taking the dynamic features of these residues into account, we identified several residual sites where mutations may gain the function of ligand binding. The in vitro binding experiments revealed the mutants M70I, S87 W, A129L, A132L, and K135 M were better in ligand binding than the wild type PD-1. CONCLUSIONS: The structural information from MD simulation combined with in silico mutagenesis provides guidance to design engineered PD-1 mutants to modulate the PD-1/PD-L1 pathway. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12964-018-0239-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-07 /pmc/articles/PMC5992718/ /pubmed/29879980 http://dx.doi.org/10.1186/s12964-018-0239-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.
spellingShingle Research
Du, Jiangfeng
Qin, Yaping
Wu, Yahong
Zhao, Wenshan
Zhai, Wenjie
Qi, Yuanming
Wang, Chuchu
Gao, Yanfeng
The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
title The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
title_full The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
title_fullStr The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
title_full_unstemmed The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
title_short The design of high affinity human PD-1 mutants by using molecular dynamics simulations (MD)
title_sort design of high affinity human pd-1 mutants by using molecular dynamics simulations (md)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992718/
https://www.ncbi.nlm.nih.gov/pubmed/29879980
http://dx.doi.org/10.1186/s12964-018-0239-9
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