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Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds
We report on the development of a cheminformatics enumeration technology and the analysis of a resulting large dataset of virtual macrolide scaffolds. Although macrolides have been shown to have valuable biological properties, there is no ready-to-screen virtual library of diverse macrolides in the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755550/ https://www.ncbi.nlm.nih.gov/pubmed/30421084 http://dx.doi.org/10.1186/s13321-018-0307-6 |
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author | Zin, Phyo Phyo Kyaw Williams, Gavin Fourches, Denis |
author_facet | Zin, Phyo Phyo Kyaw Williams, Gavin Fourches, Denis |
author_sort | Zin, Phyo Phyo Kyaw |
collection | PubMed |
description | We report on the development of a cheminformatics enumeration technology and the analysis of a resulting large dataset of virtual macrolide scaffolds. Although macrolides have been shown to have valuable biological properties, there is no ready-to-screen virtual library of diverse macrolides in the public domain. Conducting molecular modeling (especially virtual screening) of these complex molecules is highly relevant as the organic synthesis of these compounds, when feasible, typically requires many synthetic steps, and thus dramatically slows the discovery of new bioactive macrolides. Herein, we introduce a cheminformatics approach and associated software that allows for designing and generating libraries of virtual macrocycle/macrolide scaffolds with user-defined constitutional and structural constraints (e.g., types and numbers of structural motifs to be included in the macrocycle, ring size, maximum number of compounds generated). To study the chemical diversity of such generated molecules, we enumerated V1M (Virtual 1 million Macrolide scaffolds) library, each containing twelve common structural motifs. For each macrolide scaffold, we calculated several key properties, such as molecular weight, hydrogen bond donors/acceptors, topological polar surface area. In this study, we discuss (1) the initial concept and current features of our PKS (polyketides) Enumerator software, (2) the chemical diversity and distribution of structural motifs in V1M library, and (3) the unique opportunities for future virtual screening of such enumerated ensembles of macrolides. Importantly, V1M is provided in the Supplementary Material of this paper allowing other researchers to conduct any type of molecular modeling and virtual screening studies. Therefore, this technology for enumerating extremely large libraries of macrolide scaffolds could hold a unique potential in the field of computational chemistry and drug discovery for rational designing of new antibiotics and anti-cancer agents. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-018-0307-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6755550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-67555502019-09-26 Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds Zin, Phyo Phyo Kyaw Williams, Gavin Fourches, Denis J Cheminform Research Article We report on the development of a cheminformatics enumeration technology and the analysis of a resulting large dataset of virtual macrolide scaffolds. Although macrolides have been shown to have valuable biological properties, there is no ready-to-screen virtual library of diverse macrolides in the public domain. Conducting molecular modeling (especially virtual screening) of these complex molecules is highly relevant as the organic synthesis of these compounds, when feasible, typically requires many synthetic steps, and thus dramatically slows the discovery of new bioactive macrolides. Herein, we introduce a cheminformatics approach and associated software that allows for designing and generating libraries of virtual macrocycle/macrolide scaffolds with user-defined constitutional and structural constraints (e.g., types and numbers of structural motifs to be included in the macrocycle, ring size, maximum number of compounds generated). To study the chemical diversity of such generated molecules, we enumerated V1M (Virtual 1 million Macrolide scaffolds) library, each containing twelve common structural motifs. For each macrolide scaffold, we calculated several key properties, such as molecular weight, hydrogen bond donors/acceptors, topological polar surface area. In this study, we discuss (1) the initial concept and current features of our PKS (polyketides) Enumerator software, (2) the chemical diversity and distribution of structural motifs in V1M library, and (3) the unique opportunities for future virtual screening of such enumerated ensembles of macrolides. Importantly, V1M is provided in the Supplementary Material of this paper allowing other researchers to conduct any type of molecular modeling and virtual screening studies. Therefore, this technology for enumerating extremely large libraries of macrolide scaffolds could hold a unique potential in the field of computational chemistry and drug discovery for rational designing of new antibiotics and anti-cancer agents. [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13321-018-0307-6) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-11-12 /pmc/articles/PMC6755550/ /pubmed/30421084 http://dx.doi.org/10.1186/s13321-018-0307-6 Text en © The Author(s) 2018 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 | Research Article Zin, Phyo Phyo Kyaw Williams, Gavin Fourches, Denis Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
title | Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
title_full | Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
title_fullStr | Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
title_full_unstemmed | Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
title_short | Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
title_sort | cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755550/ https://www.ncbi.nlm.nih.gov/pubmed/30421084 http://dx.doi.org/10.1186/s13321-018-0307-6 |
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