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Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints

BACKGROUND: Tools to explore large compound databases in search for analogs of query molecules provide a strategically important support in drug discovery to help identify available analogs of any given reference or hit compound by ligand based virtual screening (LBVS). We recently showed that large...

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Autores principales: Awale, Mahendra, Jin, Xian, Reymond, Jean-Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352573/
https://www.ncbi.nlm.nih.gov/pubmed/25750664
http://dx.doi.org/10.1186/s13321-014-0051-5
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author Awale, Mahendra
Jin, Xian
Reymond, Jean-Louis
author_facet Awale, Mahendra
Jin, Xian
Reymond, Jean-Louis
author_sort Awale, Mahendra
collection PubMed
description BACKGROUND: Tools to explore large compound databases in search for analogs of query molecules provide a strategically important support in drug discovery to help identify available analogs of any given reference or hit compound by ligand based virtual screening (LBVS). We recently showed that large databases can be formatted for very fast searching with various 2D-fingerprints using the city-block distance as similarity measure, in particular a 2D-atom pair fingerprint (APfp) and the related category extended atom pair fingerprint (Xfp) which efficiently encode molecular shape and pharmacophores, but do not perceive stereochemistry. Here we investigated related 3D-atom pair fingerprints to enable rapid stereoselective searches in the ZINC database (23.2 million 3D structures). RESULTS: Molecular fingerprints counting atom pairs at increasing through-space distance intervals were designed using either all atoms (16-bit 3DAPfp) or different atom categories (80-bit 3DXfp). These 3D-fingerprints retrieved molecular shape and pharmacophore analogs (defined by OpenEye ROCS scoring functions) of 110,000 compounds from the Cambridge Structural Database with equal or better accuracy than the 2D-fingerprints APfp and Xfp, and showed comparable performance in recovering actives from decoys in the DUD database. LBVS by 3DXfp or 3DAPfp similarity was stereoselective and gave very different analogs when starting from different diastereomers of the same chiral drug. Results were also different from LBVS with the parent 2D-fingerprints Xfp or APfp. 3D- and 2D-fingerprints also gave very different results in LBVS of folded molecules where through-space distances between atom pairs are much shorter than topological distances. CONCLUSIONS: 3DAPfp and 3DXfp are suitable for stereoselective searches for shape and pharmacophore analogs of query molecules in large databases. Web-browsers for searching ZINC by 3DAPfp and 3DXfp similarity are accessible at www.gdb.unibe.ch and should provide useful assistance to drug discovery projects. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-014-0051-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-43525732015-03-09 Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints Awale, Mahendra Jin, Xian Reymond, Jean-Louis J Cheminform Research Article BACKGROUND: Tools to explore large compound databases in search for analogs of query molecules provide a strategically important support in drug discovery to help identify available analogs of any given reference or hit compound by ligand based virtual screening (LBVS). We recently showed that large databases can be formatted for very fast searching with various 2D-fingerprints using the city-block distance as similarity measure, in particular a 2D-atom pair fingerprint (APfp) and the related category extended atom pair fingerprint (Xfp) which efficiently encode molecular shape and pharmacophores, but do not perceive stereochemistry. Here we investigated related 3D-atom pair fingerprints to enable rapid stereoselective searches in the ZINC database (23.2 million 3D structures). RESULTS: Molecular fingerprints counting atom pairs at increasing through-space distance intervals were designed using either all atoms (16-bit 3DAPfp) or different atom categories (80-bit 3DXfp). These 3D-fingerprints retrieved molecular shape and pharmacophore analogs (defined by OpenEye ROCS scoring functions) of 110,000 compounds from the Cambridge Structural Database with equal or better accuracy than the 2D-fingerprints APfp and Xfp, and showed comparable performance in recovering actives from decoys in the DUD database. LBVS by 3DXfp or 3DAPfp similarity was stereoselective and gave very different analogs when starting from different diastereomers of the same chiral drug. Results were also different from LBVS with the parent 2D-fingerprints Xfp or APfp. 3D- and 2D-fingerprints also gave very different results in LBVS of folded molecules where through-space distances between atom pairs are much shorter than topological distances. CONCLUSIONS: 3DAPfp and 3DXfp are suitable for stereoselective searches for shape and pharmacophore analogs of query molecules in large databases. Web-browsers for searching ZINC by 3DAPfp and 3DXfp similarity are accessible at www.gdb.unibe.ch and should provide useful assistance to drug discovery projects. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-014-0051-5) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-02-10 /pmc/articles/PMC4352573/ /pubmed/25750664 http://dx.doi.org/10.1186/s13321-014-0051-5 Text en © Awale et al.; licensee Springer. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Awale, Mahendra
Jin, Xian
Reymond, Jean-Louis
Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
title Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
title_full Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
title_fullStr Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
title_full_unstemmed Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
title_short Stereoselective virtual screening of the ZINC database using atom pair 3D-fingerprints
title_sort stereoselective virtual screening of the zinc database using atom pair 3d-fingerprints
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352573/
https://www.ncbi.nlm.nih.gov/pubmed/25750664
http://dx.doi.org/10.1186/s13321-014-0051-5
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