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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...

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Autores principales: Macari, Gabriele, Toti, Daniele, Del Moro, Carlo, Polticelli, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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