QSAR and machine learning applied for the analysis of (fluoro)quinolone activity.
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| Title: | QSAR and machine learning applied for the analysis of (fluoro)quinolone activity. |
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| Authors: | Buglak AA; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, St. Petersburg, Russia., Chebotaev PP; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, St. Petersburg, Russia., Zherdev AV; A. N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, Moscow, Russia., Hendrickson OD; A. N. Bach Institute of Biochemistry, Research Center of Biotechnology, Russian Academy of Sciences, Moscow, Russia. |
| Source: | Expert opinion on drug discovery [Expert Opin Drug Discov] 2025 Dec; Vol. 20 (12), pp. 1525-1547. Date of Electronic Publication: 2025 Nov 06. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 101295755 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1746-045X (Electronic) Linking ISSN: 17460441 NLM ISO Abbreviation: Expert Opin Drug Discov Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1746-045X |
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| DOI: | 10.1080/17460441.2025.2584312 |
