ArticleJournal of cheminformatics2018
Cheminformatics-based enumeration and analysis of large libraries of macrolide scaffolds.
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.
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Who cites it
5 citing papers in PubMed.
- Protein engineering for natural product biosynthesis and synthetic biology applications.Protein engineering, design & selection : PEDS · 2021Review
- Synthetic biology enabling access to designer polyketides.Current opinion in chemical biology · 2020Review
- Cheminformatics Analysis and Modeling with MacrolactoneDB.Scientific reports · 2020Article
- SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides.Journal of cheminformatics · 2020Article
- QSAR Models for Predicting Five Levels of Cellular Accumulation of Lysosomotropic Macrocycles.International journal of molecular sciences · 2019Article
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Authors and funding
3 authors.
Funding
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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.
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Registered trials
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