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Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening
Computational techniques such as structure-based virtual screening require carefully prepared 3D models of potential small-molecule ligands. Though powerful, existing commercial programs for virtual-library preparation have restrictive and/or expensive licenses. Freely available alternatives, though...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534830/ https://www.ncbi.nlm.nih.gov/pubmed/31127411 http://dx.doi.org/10.1186/s13321-019-0358-3 |
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author | Ropp, Patrick J. Spiegel, Jacob O. Walker, Jennifer L. Green, Harrison Morales, Guillermo A. Milliken, Katherine A. Ringe, John J. Durrant, Jacob D. |
author_facet | Ropp, Patrick J. Spiegel, Jacob O. Walker, Jennifer L. Green, Harrison Morales, Guillermo A. Milliken, Katherine A. Ringe, John J. Durrant, Jacob D. |
author_sort | Ropp, Patrick J. |
collection | PubMed |
description | Computational techniques such as structure-based virtual screening require carefully prepared 3D models of potential small-molecule ligands. Though powerful, existing commercial programs for virtual-library preparation have restrictive and/or expensive licenses. Freely available alternatives, though often effective, do not fully account for all possible ionization, tautomeric, and ring-conformational variants. We here present Gypsum-DL, a free, robust open-source program that addresses these challenges. As input, Gypsum-DL accepts virtual compound libraries in SMILES or flat SDF formats. For each molecule in the virtual library, it enumerates appropriate ionization, tautomeric, chiral, cis/trans isomeric, and ring-conformational forms. As output, Gypsum-DL produces an SDF file containing each molecular form, with 3D coordinates assigned. To demonstrate its utility, we processed 1558 molecules taken from the NCI Diversity Set VI and 56,608 molecules taken from a Distributed Drug Discovery (D3) combinatorial virtual library. We also used 4463 high-quality protein–ligand complexes from the PDBBind database to show that Gypsum-DL processing can improve virtual-screening pose prediction. Gypsum-DL is available free of charge under the terms of the Apache License, Version 2.0. [Image: see text] |
format | Online Article Text |
id | pubmed-6534830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-65348302019-05-30 Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening Ropp, Patrick J. Spiegel, Jacob O. Walker, Jennifer L. Green, Harrison Morales, Guillermo A. Milliken, Katherine A. Ringe, John J. Durrant, Jacob D. J Cheminform Software Computational techniques such as structure-based virtual screening require carefully prepared 3D models of potential small-molecule ligands. Though powerful, existing commercial programs for virtual-library preparation have restrictive and/or expensive licenses. Freely available alternatives, though often effective, do not fully account for all possible ionization, tautomeric, and ring-conformational variants. We here present Gypsum-DL, a free, robust open-source program that addresses these challenges. As input, Gypsum-DL accepts virtual compound libraries in SMILES or flat SDF formats. For each molecule in the virtual library, it enumerates appropriate ionization, tautomeric, chiral, cis/trans isomeric, and ring-conformational forms. As output, Gypsum-DL produces an SDF file containing each molecular form, with 3D coordinates assigned. To demonstrate its utility, we processed 1558 molecules taken from the NCI Diversity Set VI and 56,608 molecules taken from a Distributed Drug Discovery (D3) combinatorial virtual library. We also used 4463 high-quality protein–ligand complexes from the PDBBind database to show that Gypsum-DL processing can improve virtual-screening pose prediction. Gypsum-DL is available free of charge under the terms of the Apache License, Version 2.0. [Image: see text] Springer International Publishing 2019-05-24 /pmc/articles/PMC6534830/ /pubmed/31127411 http://dx.doi.org/10.1186/s13321-019-0358-3 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Software Ropp, Patrick J. Spiegel, Jacob O. Walker, Jennifer L. Green, Harrison Morales, Guillermo A. Milliken, Katherine A. Ringe, John J. Durrant, Jacob D. Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
title | Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
title_full | Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
title_fullStr | Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
title_full_unstemmed | Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
title_short | Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
title_sort | gypsum-dl: an open-source program for preparing small-molecule libraries for structure-based virtual screening |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534830/ https://www.ncbi.nlm.nih.gov/pubmed/31127411 http://dx.doi.org/10.1186/s13321-019-0358-3 |
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