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Enhanced Molecular Dynamics Method to Efficiently Increase the Discrimination Capability of Computational Protein–Protein Docking
[Image: see text] Protein–protein docking typically consists of the generation of putative binding conformations, which are subsequently ranked by fast heuristic scoring functions. The simplicity of these functions allows for computational efficiency but has severe repercussions on their discriminat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582249/ https://www.ncbi.nlm.nih.gov/pubmed/34653335 http://dx.doi.org/10.1021/acs.jctc.1c00789 |
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author | Scafuri, Nicola Soler, Miguel A. Spitaleri, Andrea Rocchia, Walter |
author_facet | Scafuri, Nicola Soler, Miguel A. Spitaleri, Andrea Rocchia, Walter |
author_sort | Scafuri, Nicola |
collection | PubMed |
description | [Image: see text] Protein–protein docking typically consists of the generation of putative binding conformations, which are subsequently ranked by fast heuristic scoring functions. The simplicity of these functions allows for computational efficiency but has severe repercussions on their discrimination capabilities. In this work, we show the effectiveness of suitable descriptors calculated along short scaled molecular dynamics runs in recognizing the nearest-native bound conformation among a set of putative structures generated by the HADDOCK tool for eight protein–protein systems. |
format | Online Article Text |
id | pubmed-8582249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85822492021-11-12 Enhanced Molecular Dynamics Method to Efficiently Increase the Discrimination Capability of Computational Protein–Protein Docking Scafuri, Nicola Soler, Miguel A. Spitaleri, Andrea Rocchia, Walter J Chem Theory Comput [Image: see text] Protein–protein docking typically consists of the generation of putative binding conformations, which are subsequently ranked by fast heuristic scoring functions. The simplicity of these functions allows for computational efficiency but has severe repercussions on their discrimination capabilities. In this work, we show the effectiveness of suitable descriptors calculated along short scaled molecular dynamics runs in recognizing the nearest-native bound conformation among a set of putative structures generated by the HADDOCK tool for eight protein–protein systems. American Chemical Society 2021-10-15 2021-11-09 /pmc/articles/PMC8582249/ /pubmed/34653335 http://dx.doi.org/10.1021/acs.jctc.1c00789 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Scafuri, Nicola Soler, Miguel A. Spitaleri, Andrea Rocchia, Walter Enhanced Molecular Dynamics Method to Efficiently Increase the Discrimination Capability of Computational Protein–Protein Docking |
title | Enhanced Molecular Dynamics Method to Efficiently
Increase the Discrimination Capability of Computational Protein–Protein
Docking |
title_full | Enhanced Molecular Dynamics Method to Efficiently
Increase the Discrimination Capability of Computational Protein–Protein
Docking |
title_fullStr | Enhanced Molecular Dynamics Method to Efficiently
Increase the Discrimination Capability of Computational Protein–Protein
Docking |
title_full_unstemmed | Enhanced Molecular Dynamics Method to Efficiently
Increase the Discrimination Capability of Computational Protein–Protein
Docking |
title_short | Enhanced Molecular Dynamics Method to Efficiently
Increase the Discrimination Capability of Computational Protein–Protein
Docking |
title_sort | enhanced molecular dynamics method to efficiently
increase the discrimination capability of computational protein–protein
docking |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582249/ https://www.ncbi.nlm.nih.gov/pubmed/34653335 http://dx.doi.org/10.1021/acs.jctc.1c00789 |
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