Machine learning: Python tools for studying biomolecules and drug design Обзор
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Molecular Diversity
ISSN: 1573-501X , E-ISSN: 1381-1991 |
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| Вых. Данные | Год: 2025, Том: 29, Страницы: 3789–3824 Страниц : DOI: 10.1007/s11030-025-11199-2 | ||
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Реферат:
The increasing adoption of computational methods and artificial intelligence in scientific research has led to a growing interest in versatile tools like Python. In the fields of medical chemistry, biochemistry, and bioinformatics, Python has emerged as a key language for tackling complex challenges. It is used to solve various tasks, such as drug discovery, high-throughput and virtual screening, protein and genome analysis, and predicting drug efficacy. This review presents a list of tools for these tasks, including scripts, libraries, and ready-made programs, and serves as a starting point for scientists wishing to apply automation or optimization to routine tasks in medical chemistry and bioinformatics.
Библиографическая ссылка:
Ryzhkov F.V.
, Ryzhkova Y.E.
, Elinson M.N.
Machine learning: Python tools for studying biomolecules and drug design
Molecular Diversity. 2025. V.29. P.3789–3824. DOI: 10.1007/s11030-025-11199-2 WOS Scopus OpenAlex
Machine learning: Python tools for studying biomolecules and drug design
Molecular Diversity. 2025. V.29. P.3789–3824. DOI: 10.1007/s11030-025-11199-2 WOS Scopus OpenAlex
Идентификаторы БД:
| ≡ Web of science: | WOS:001478387300001 |
| ≡ Scopus: | 2-s2.0-105003847514 |
| ≡ OpenAlex: | W4409919598 |