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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
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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. |
format | Online Article Text |
id | pubmed-8603191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society of Chemistry |
record_format | MEDLINE/PubMed |
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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