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Kovalishyn, V.V.* ; Grouleff, J.* ; Semenyuta, I.* ; Sinenko, V.O.* ; Slivchuk, S.R.* ; Hodyna, D.* ; Brovarets, V.* ; Blagodatny, V.* ; Poda, G.* ; Tetko, I.V. ; Metelytsia, L.*

Rational design of isonicotinic acid hydrazide derivatives with antitubercular activity: Machine learning, molecular docking, synthesis and biological testing.

Chem. Biol. Drug Des. 92, 1272-1278 (2018)

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	Open Access Green

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The problem of designing new antitubercular drugs against multiple drug‐resistant tuberculosis (MDR‐TB) was addressed using advanced machine learning methods. As there are only few published measurements against MDR‐TB, we collected a large literature data set and developed models against the non‐resistant H37Rv strain. The predictive accuracy of these models had a coefficient of determination q² = .7–.8 (regression models) and balanced accuracies of about 80% (classification models) with cross‐validation and independent test sets. The models were applied to screen a virtual chemical library, which was designed to have MDR‐TB activity. The seven most promising compounds were identified, synthesized and tested. All of them showed activity against the H37Rv strain, and three molecules demonstrated activity against the MDR‐TB strain. The docking analysis indicated that the discovered molecules could bind enoyl reductase, InhA, which is required in mycobacterial cell wall development. The models are freely available online (http://ochem.eu/article/103868) and can be used to predict potential anti‐TB activity of new chemicals.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Antitubercular Activity ; Isonicotinic Acid Hydrazide Derivatives ; Machine Learning ; Molecular Docking ; Mycobacterium Tuberculosis (mtb) ; Ochem; Polycyclic Aromatic-hydrocarbons; Lung Epithelial-cells; Yangtze-river Delta; 6 European Cities; Ambient Air; Oxidative Stress; Mouse Lung; A549 Cells; Cytotoxic Responses; Seasonal-variation

ISSN (print) / ISBN 1747-0277

e-ISSN 1747-0285

Journal Chemical biology & drug design

Quellenangaben Volume: 92, Issue: 1, Pages: 1272-1278

Publisher Blackwell

Publishing Place Los Angeles, Calif.

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Structural Biology (STB)