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Quantum Mechanical-Cluster Approach to Solve the Bioisosteric Replacement Problem in Drug Designстатья Исследовательская статья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Losev Timofey V., Gerasimov Igor S., Panova Maria V., Lisov Alexey A., Abdyusheva Yana R., Rusina Polina V., Zaletskaya Eugenia, Stroganov Oleg V., Medvedev Michael G., Novikov Fedor N.
- Журнал: Journal of Chemical Information and Modeling
- Год издания: 2023
- Издательство: American Chemical Society
- Местоположение издательства: United States
- DOI: 10.1021/acs.jcim.2c01212
- Аннотация: Bioisosteres are molecules that differ in substituents but still have very similar shapes. Bioisosteric replacements are ubiquitous in modern drug design, where they are used to alter metabolism, change bioavailability, or modify activity of the lead compound. Prediction of relative affinities of bioisosteres with computational methods is a long-standing task; however, the very shape closeness makes bioisosteric substitutions almost intractable for computational methods, which use standard force fields. Here, we design a quantum mechanical (QM)-cluster approach based on the GFN2-xTB semi-empirical quantum-chemical method and apply it to a set of H → F bioisosteric replacements. The proposed methodology enables advanced prediction of biological activity change upon bioisosteric substitution of −H with −F, with the standard deviation of 0.60 kcal/mol, surpassing the ChemPLP scoring function (0.83 kcal/mol), and making QM-based ΔΔG estimation comparable to ∼0.42 kcal/mol standard deviation of in vitro experiment. The speed of the method and lack of tunable parameters makes it affordable in current drug research.
- Добавил в систему: Лосев Тимофей Валерьевич