Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists

Combining molecular modeling and in vitro bioassays, Sokkar et al. provide an understanding of how EPI-X4, an endogenous peptide antagonist, interacts with its receptor CXCR4. With computational model, validated by mutagenesis studies, they design a series of derivatives with optimized receptor anta...

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Autores principales: Pandian Sokkar, Mirja Harms, Christina Stürzel, Andrea Gilg, Gönül Kizilsavas, Martina Raasholm, Nico Preising, Manfred Wagner, Frank Kirchhoff, Ludger Ständker, Gilbert Weidinger, Benjamin Mayer, Jan Münch, Elsa Sanchez-Garcia
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f993d3d26776456ebe0fc89bf8e4a5df
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spelling oai:doaj.org-article:f993d3d26776456ebe0fc89bf8e4a5df2021-12-02T18:13:52ZComputational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists10.1038/s42003-021-02638-52399-3642https://doaj.org/article/f993d3d26776456ebe0fc89bf8e4a5df2021-09-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02638-5https://doaj.org/toc/2399-3642Combining molecular modeling and in vitro bioassays, Sokkar et al. provide an understanding of how EPI-X4, an endogenous peptide antagonist, interacts with its receptor CXCR4. With computational model, validated by mutagenesis studies, they design a series of derivatives with optimized receptor antagonizing properties as new leads for the development of CXCR4 inhibitors.Pandian SokkarMirja HarmsChristina StürzelAndrea GilgGönül KizilsavasMartina RaasholmNico PreisingManfred WagnerFrank KirchhoffLudger StändkerGilbert WeidingerBenjamin MayerJan MünchElsa Sanchez-GarciaNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Pandian Sokkar
Mirja Harms
Christina Stürzel
Andrea Gilg
Gönül Kizilsavas
Martina Raasholm
Nico Preising
Manfred Wagner
Frank Kirchhoff
Ludger Ständker
Gilbert Weidinger
Benjamin Mayer
Jan Münch
Elsa Sanchez-Garcia
Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists
description Combining molecular modeling and in vitro bioassays, Sokkar et al. provide an understanding of how EPI-X4, an endogenous peptide antagonist, interacts with its receptor CXCR4. With computational model, validated by mutagenesis studies, they design a series of derivatives with optimized receptor antagonizing properties as new leads for the development of CXCR4 inhibitors.
format article
author Pandian Sokkar
Mirja Harms
Christina Stürzel
Andrea Gilg
Gönül Kizilsavas
Martina Raasholm
Nico Preising
Manfred Wagner
Frank Kirchhoff
Ludger Ständker
Gilbert Weidinger
Benjamin Mayer
Jan Münch
Elsa Sanchez-Garcia
author_facet Pandian Sokkar
Mirja Harms
Christina Stürzel
Andrea Gilg
Gönül Kizilsavas
Martina Raasholm
Nico Preising
Manfred Wagner
Frank Kirchhoff
Ludger Ständker
Gilbert Weidinger
Benjamin Mayer
Jan Münch
Elsa Sanchez-Garcia
author_sort Pandian Sokkar
title Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists
title_short Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists
title_full Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists
title_fullStr Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists
title_full_unstemmed Computational modeling and experimental validation of the EPI-X4/CXCR4 complex allows rational design of small peptide antagonists
title_sort computational modeling and experimental validation of the epi-x4/cxcr4 complex allows rational design of small peptide antagonists
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/f993d3d26776456ebe0fc89bf8e4a5df
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