The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Molecule-pharmacophore superpositioning and pattern matching in computational drug design
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hopfinger, A. J. (1985) · Journal of Medicinal Chemistry · doi:10.1021/jm00147a001 · Cited by 212
Cited by
Rethinking drug design in the artificial intelligence era
Schneider, P., Walters, W. P., Plowright, A. T., Sieroka, N., Listgarten, J., Goodnow, R. A., Fisher, J., Jansen, J. M., Duca, J. S., Rush, T. S., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0050-3 · Cited by 894
Data-driven design of metal–organic frameworks for wet flue gas CO2 capture
Boyd, P. G., Chidambaram, A., García-Díez, E., Ireland, C. P., Daff, T. D., Bounds, R., Gładysiak, A., Schouwink, P., Moosavi, S. M., Maroto-Valer, M. M., et al. (2019) · Nature · doi:10.1038/s41586-019-1798-7 · Cited by 885
Polypharmacology by Design: A Medicinal Chemist’s Perspective on Multitargeting Compounds
Proschak, E., Stark, H., & Merk, D. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b00760 · Cited by 498
Recognizing Pitfalls in Virtual Screening: A Critical Review
Scior, T., Bender, A., Tresadern, G., Medina-Franco, J. L., Martínez-Mayorga, K., Langer, T., Cuanalo-Contreras, K., & Agrafiotis, D. K. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci200528d · Cited by 438
Self-citationAI-powered therapeutic target discovery
Pun, F. W., Ozerov, I. V., & Zhavoronkov, A. (2023) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2023.06.010 · Cited by 341
Metadata
- Authors
- Wolber, G., Seidel, T., Bendix, F., & Langer, T.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 13
- Issue
- 1-2
- Pages
- 23-29
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2157004511
- Cited by
- 315
- References
- 1
- FWCI
- 18.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Molecule-pharmacophore superpositioning and pattern matching in computational drug design. https://app.cochat.ai/papers/10.1016/j.drudis.2007.09.007
- The paper
- Wolber, G., Seidel, T., Bendix, F., & Langer, T. (2008). Molecule-pharmacophore superpositioning and pattern matching in computational drug design. Drug Discovery Today. https://doi.org/10.1016/j.drudis.2007.09.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.