Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Similarity-based Virtual Screening to Find Antituberculosis Agents based on Novel Scaffolds

Version 1 : Received: 7 September 2022 / Approved: 14 September 2022 / Online: 14 September 2022 (03:32:55 CEST)

A peer-reviewed article of this Preprint also exists.

García-García, Á.; Julián-Ortiz, J.V.; Gálvez, J.; Font, D.; Ayats, C.; Guna Serrano, M.R.; Muñoz-Collado, C.; Borrás, R.; Villalgordo, J.M. Similarity-Based Virtual Screening to Find Antituberculosis Agents Based on Novel Scaffolds: Design, Syntheses and Pharmacological Assays. Int. J. Mol. Sci. 2022, 23, 15057. García-García, Á.; Julián-Ortiz, J.V.; Gálvez, J.; Font, D.; Ayats, C.; Guna Serrano, M.R.; Muñoz-Collado, C.; Borrás, R.; Villalgordo, J.M. Similarity-Based Virtual Screening to Find Antituberculosis Agents Based on Novel Scaffolds: Design, Syntheses and Pharmacological Assays. Int. J. Mol. Sci. 2022, 23, 15057.

Abstract

A method is developed to identify molecular scaffolds potentially active against the Mycobacterium tuberculosis complex (MTBC). A structurally heterogeneous set of compounds active against MTBC was used to obtain a structural pattern model based on structural invariants. This model was statistically validated through a Leave-n-Out test. It successfully discriminated between active or inactive compounds over 86% in database sets and was also able to select new active chemical structures in external databases. The selection of new substituted pyrimidines, pyrimidones and triazolo[1,5-a]pyrimidines was particularly interesting because these structures could provide new scaffolds in this field. The seven selected candidates were synthesized and six of them showed activity in vitro.

Keywords

MTBC; virtual screening; topological indices; linear discriminant analysis; pharmacological activity distribution diagrams; antimicrobial drugs; drug design

Subject

Chemistry and Materials Science, Medicinal Chemistry

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