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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2011
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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. |
format | Online Article Text |
id | pubmed-3191767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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