Evidence map›Paper›PMID 30421084›Full record

ArticleJournal of cheminformatics2018

Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds.

Phyo Phyo Kyaw Zin, Gavin Williams, Denis Fourches

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Article in Journal of cheminformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Synthetic biology enabling access to designer polyketides.Current opinion in chemical biology · 2020
    Review
  3. Article
  4. Article
  5. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Phyo Phyo Kyaw ZinDepartment of Chemistry, North Carolina State University, Raleigh, NC, USA.
Gavin WilliamsDepartment of Chemistry, North Carolina State University, Raleigh, NC, USA.
Denis FourchesDepartment of Chemistry, North Carolina State University, Raleigh, NC, USA. dfourch@ncsu.edu.ORCID http://orcid.org/0000-0001-5642-8303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID30421084
PMCPMC6755550

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.