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Fragment-based design of selective GPCR ligands guided by free energy simulations

Fragment-based drug discovery relies on successful optimization of weakly binding ligands for affinity and selectivity. Herein, we explored strategies for structure-based evolution of fragments binding to a G protein-coupled receptor. Molecular dynamics simulations combined with rigorous free energy...

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Detalles Bibliográficos
Autores principales: Matricon, Pierre, Vo, Duc Duy, Gao, Zhan-Guo, Kihlberg, Jan, Jacobson, Kenneth A., Carlsson, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603191/
https://www.ncbi.nlm.nih.gov/pubmed/34734588
http://dx.doi.org/10.1039/d1cc03202j
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author Matricon, Pierre
Vo, Duc Duy
Gao, Zhan-Guo
Kihlberg, Jan
Jacobson, Kenneth A.
Carlsson, Jens
author_facet Matricon, Pierre
Vo, Duc Duy
Gao, Zhan-Guo
Kihlberg, Jan
Jacobson, Kenneth A.
Carlsson, Jens
author_sort Matricon, Pierre
collection PubMed
description Fragment-based drug discovery relies on successful optimization of weakly binding ligands for affinity and selectivity. Herein, we explored strategies for structure-based evolution of fragments binding to a G protein-coupled receptor. Molecular dynamics simulations combined with rigorous free energy calculations guided synthesis of nanomolar ligands with up to >1000-fold improvements of binding affinity and close to 40-fold subtype selectivity.
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spelling pubmed-86031912021-11-23 Fragment-based design of selective GPCR ligands guided by free energy simulations Matricon, Pierre Vo, Duc Duy Gao, Zhan-Guo Kihlberg, Jan Jacobson, Kenneth A. Carlsson, Jens Chem Commun (Camb) Chemistry Fragment-based drug discovery relies on successful optimization of weakly binding ligands for affinity and selectivity. Herein, we explored strategies for structure-based evolution of fragments binding to a G protein-coupled receptor. Molecular dynamics simulations combined with rigorous free energy calculations guided synthesis of nanomolar ligands with up to >1000-fold improvements of binding affinity and close to 40-fold subtype selectivity. The Royal Society of Chemistry 2021-10-15 /pmc/articles/PMC8603191/ /pubmed/34734588 http://dx.doi.org/10.1039/d1cc03202j Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Matricon, Pierre
Vo, Duc Duy
Gao, Zhan-Guo
Kihlberg, Jan
Jacobson, Kenneth A.
Carlsson, Jens
Fragment-based design of selective GPCR ligands guided by free energy simulations
title Fragment-based design of selective GPCR ligands guided by free energy simulations
title_full Fragment-based design of selective GPCR ligands guided by free energy simulations
title_fullStr Fragment-based design of selective GPCR ligands guided by free energy simulations
title_full_unstemmed Fragment-based design of selective GPCR ligands guided by free energy simulations
title_short Fragment-based design of selective GPCR ligands guided by free energy simulations
title_sort fragment-based design of selective gpcr ligands guided by free energy simulations
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603191/
https://www.ncbi.nlm.nih.gov/pubmed/34734588
http://dx.doi.org/10.1039/d1cc03202j
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