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Insights into Ligand–Protein Binding from Local Mechanical Response

Computational studies of ligand–protein binding are crucial for properly designing novel compounds of potential pharmacological interest. In this respect, researchers are increasingly interested in steered molecular dynamics for ligand–protein binding and unbinding studies. In particular, it has bee...

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Autores principales: Patel, Jagdish Suresh, Branduardi, Davide, Masetti, Matteo, Rocchia, Walter, Cavalli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2011
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191767/
https://www.ncbi.nlm.nih.gov/pubmed/22003321
http://dx.doi.org/10.1021/ct200324j
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author Patel, Jagdish Suresh
Branduardi, Davide
Masetti, Matteo
Rocchia, Walter
Cavalli, Andrea
author_facet Patel, Jagdish Suresh
Branduardi, Davide
Masetti, Matteo
Rocchia, Walter
Cavalli, Andrea
author_sort Patel, Jagdish Suresh
collection PubMed
description Computational studies of ligand–protein binding are crucial for properly designing novel compounds of potential pharmacological interest. In this respect, researchers are increasingly interested in steered molecular dynamics for ligand–protein binding and unbinding studies. In particular, it has been suggested that analyzing the work profiles along the ligand–protein undocking paths could be fruitful. Here, we propose that small portions of work profiles, termed “local mechanical responses” of the system to a steering force, could serve as a universal measure for capturing relevant information about the system under investigation. Specifically, we first collected a high number of steering trajectories using two biological systems of increasing complexity (i.e., alanine dipeptide and (R)-roscovitine/CDK5 complex). Then, we devised a novel postprocessing tool to be applied to the local mechanical responses, to extract structural information related to the biological processes under investigation. Despite the out-of-equilibrium character of the trajectories, the analysis carried out on the work profiles provided pivotal information about the investigated biological processes. This could eventually be applied to drug design.
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spelling pubmed-31917672011-10-12 Insights into Ligand–Protein Binding from Local Mechanical Response Patel, Jagdish Suresh Branduardi, Davide Masetti, Matteo Rocchia, Walter Cavalli, Andrea J Chem Theory Comput Computational studies of ligand–protein binding are crucial for properly designing novel compounds of potential pharmacological interest. In this respect, researchers are increasingly interested in steered molecular dynamics for ligand–protein binding and unbinding studies. In particular, it has been suggested that analyzing the work profiles along the ligand–protein undocking paths could be fruitful. Here, we propose that small portions of work profiles, termed “local mechanical responses” of the system to a steering force, could serve as a universal measure for capturing relevant information about the system under investigation. Specifically, we first collected a high number of steering trajectories using two biological systems of increasing complexity (i.e., alanine dipeptide and (R)-roscovitine/CDK5 complex). Then, we devised a novel postprocessing tool to be applied to the local mechanical responses, to extract structural information related to the biological processes under investigation. Despite the out-of-equilibrium character of the trajectories, the analysis carried out on the work profiles provided pivotal information about the investigated biological processes. This could eventually be applied to drug design. American Chemical Society 2011-08-30 2011-10-11 /pmc/articles/PMC3191767/ /pubmed/22003321 http://dx.doi.org/10.1021/ct200324j Text en Copyright © 2011 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org.
spellingShingle Patel, Jagdish Suresh
Branduardi, Davide
Masetti, Matteo
Rocchia, Walter
Cavalli, Andrea
Insights into Ligand–Protein Binding from Local Mechanical Response
title Insights into Ligand–Protein Binding from Local Mechanical Response
title_full Insights into Ligand–Protein Binding from Local Mechanical Response
title_fullStr Insights into Ligand–Protein Binding from Local Mechanical Response
title_full_unstemmed Insights into Ligand–Protein Binding from Local Mechanical Response
title_short Insights into Ligand–Protein Binding from Local Mechanical Response
title_sort insights into ligand–protein binding from local mechanical response
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191767/
https://www.ncbi.nlm.nih.gov/pubmed/22003321
http://dx.doi.org/10.1021/ct200324j
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