The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Prediction of ‘drug-likeness’
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
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Can We Learn To Distinguish between “Drug-like” and “Nondrug-like” Molecules?
Ajay, Walters, W. P., & Murcko, M. A. (1998) · Journal of Medicinal Chemistry · doi:10.1021/jm970666c · Cited by 484
Self-citationA Scoring Scheme for Discriminating between Drugs and Nondrugs
Sadowski, J., & Kubinyi, H. (1998) · Journal of Medicinal Chemistry · doi:10.1021/jm9706776 · Cited by 392
Cited by
Chen, Y.-C. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2014.12.001 · Cited by 611
The application of in silico drug-likeness predictions in pharmaceutical research
Tian, S., Wang, J., Li, Y., Li, D., Xu, L., & Hou, T. (2015) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.01.009 · Cited by 498
Carrier-mediated cellular uptake of pharmaceutical drugs: an exception or the rule?
Dobson, P. D., & Kell, D. B. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2438 · Cited by 475
Exposing the Limitations of Molecular Machine Learning with Activity Cliffs
van Tilborg, D., Alenicheva, A., & Grisoni, F. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.2c01073 · Cited by 337
Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis
Niazi, S. K., & Mariam, Z. (2023) · Pharmaceuticals · doi:10.3390/ph17010022 · Cited by 336
Metadata
- Authors
- Walters, W. P., & Murcko, M. A.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2002-03
- Volume
- 54
- Issue
- 3
- Pages
- 255-271
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2094568831
- Cited by
- 439
- References
- 3
- FWCI
- 1.17
- 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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Prediction of ‘drug-likeness’. https://app.cochat.ai/papers/10.1016/s0169-409x(02)00003-0
- The paper
- Walters, W. P., & Murcko, M. A. (2002). Prediction of ‘drug-likeness’. Advanced Drug Delivery Reviews. https://doi.org/10.1016/s0169-409x(02)00003-0
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.
