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Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations
In this work, the information contained in the contacts between fragments of small-molecule ligands and protein residues has been collected and its exploitability has been verified by using the scoring of docking simulations as a test case for bringing about a proof of concept. Contact statistics be...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567162/ https://www.ncbi.nlm.nih.gov/pubmed/31117183 http://dx.doi.org/10.3390/ijms20102499 |
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author | Macari, Gabriele Toti, Daniele Del Moro, Carlo Polticelli, Fabio |
author_facet | Macari, Gabriele Toti, Daniele Del Moro, Carlo Polticelli, Fabio |
author_sort | Macari, Gabriele |
collection | PubMed |
description | In this work, the information contained in the contacts between fragments of small-molecule ligands and protein residues has been collected and its exploitability has been verified by using the scoring of docking simulations as a test case for bringing about a proof of concept. Contact statistics between small-molecule fragments and binding site residues were collected and analyzed using a dataset composed of 200,000+ binding sites and associated ligands, derived from the database of the LIBRA ligand binding site recognition software, as a starting point. The fragments were generated by applying the decomposition algorithm implemented in BRICS. A simple “potential” based on the contact frequencies was tested against the CASF-2013 benchmark; its performance was then evaluated through the rescoring of docking poses generated for the DUD-E dataset. The results obtained indicate that this approach, its simplicity notwithstanding, yields promising results that are comparable, and in some cases, superior, to those obtained with other, more complex scoring functions. |
format | Online Article Text |
id | pubmed-6567162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65671622019-06-17 Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations Macari, Gabriele Toti, Daniele Del Moro, Carlo Polticelli, Fabio Int J Mol Sci Article In this work, the information contained in the contacts between fragments of small-molecule ligands and protein residues has been collected and its exploitability has been verified by using the scoring of docking simulations as a test case for bringing about a proof of concept. Contact statistics between small-molecule fragments and binding site residues were collected and analyzed using a dataset composed of 200,000+ binding sites and associated ligands, derived from the database of the LIBRA ligand binding site recognition software, as a starting point. The fragments were generated by applying the decomposition algorithm implemented in BRICS. A simple “potential” based on the contact frequencies was tested against the CASF-2013 benchmark; its performance was then evaluated through the rescoring of docking poses generated for the DUD-E dataset. The results obtained indicate that this approach, its simplicity notwithstanding, yields promising results that are comparable, and in some cases, superior, to those obtained with other, more complex scoring functions. MDPI 2019-05-21 /pmc/articles/PMC6567162/ /pubmed/31117183 http://dx.doi.org/10.3390/ijms20102499 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Macari, Gabriele Toti, Daniele Del Moro, Carlo Polticelli, Fabio Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations |
title | Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations |
title_full | Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations |
title_fullStr | Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations |
title_full_unstemmed | Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations |
title_short | Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations |
title_sort | fragment-based ligand-protein contact statistics: application to docking simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567162/ https://www.ncbi.nlm.nih.gov/pubmed/31117183 http://dx.doi.org/10.3390/ijms20102499 |
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