QSAR and 3D QSAR in drug design Part 1: methodology
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References 29 · Cited by 357
- Authors
- Kubinyi, H.
- Affiliations
- BASF (Germany) (DE)
- Corresponding author
- Kubinyi, Hugo
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 1997-11
- Volume
- 2
- Issue
- 11
- Pages
- 457-467
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2011703862
- Cited by
- 357
- References
- 29
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 6 · 2023: 16 · 2022: 9 · 2021: 15 · 2020: 18 · 2019: 24 · 2018: 16 · 2017: 21 · 2016: 18 · 2015: 12 · 2014: 19 · 2013: 22 · 2012: 24
- FWCI
- 8.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Drug Discovery Today (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Keywords
- QSAR, 3D-QSAR, structure-activity relationship, Hansch analysis, Free-Wilson analysis, CoMFA, partial least squares regression, molecular similarity, protein-ligand binding mode, drug design
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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