The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Hit discovery and hit-to-lead approaches
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
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (1997) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(96)00423-1 · Cited by 11,385
An inhibitor of Bcl-2 family proteins induces regression of solid tumours
Oltersdorf, T., Elmore, S. W., Shoemaker, A. R., Armstrong, R. C., Augeri, D. J., Belli, B. A., Bruncko, M., Deckwerth, T. L., Dinges, J., Hajduk, P. J., et al. (2005) · Nature · doi:10.1038/nature03579 · Cited by 3,416
Discovering High-Affinity Ligands for Proteins: SAR by NMR
Shuker, S. B., Hajduk, P. J., Meadows, R. P., & Fesik, S. W. (1996) · Science · doi:10.1126/science.274.5292.1531 · Cited by 2,041
A ‘Rule of Three’ for fragment-based lead discovery?
Congreve, M., Carr, R., Murray, C., & Jhoti, H. (2003) · Drug Discovery Today · doi:10.1016/s1359-6446(03)02831-9 · Cited by 1,354
A Common Mechanism Underlying Promiscuous Inhibitors from Virtual and High-Throughput Screening
McGovern, S. L., Caselli, E., Grigorieff, N., & Shoichet, B. K. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm010533y · Cited by 1,042
Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery
Hann, M. M., Leach, A. R., & Harper, G. (2001) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci000403i · Cited by 877
Gasparini, F., Lingenhöhl, K., Stoehr, N., Flor, P. J., Heinrich, M., Vranesic, I., Biollaz, M., Allgeier, H., Heckendorn, R., Urwyler, S., et al. (1999) · Neuropharmacology · doi:10.1016/s0028-3908(99)00082-9 · Cited by 725
Burger, A., & Wolff, M. E. (1980) · Wiley eBooks · Cited by 708
Erlanson, D. A., McDowell, R. S., & O'Brien, T. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm040031v · Cited by 642
Cited by
Opportunities and obstacles for deep learning in biology and medicine
Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0387 · Cited by 2,310
A Structure-Based Drug Discovery Paradigm
Batool, M., Ahmad, B., & Choi, S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20112783 · Cited by 744
The influence of lead discovery strategies on the properties of drug candidates
Keserü, G. M., & Makara, G. M. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2796 · Cited by 628
Self-citationSpray drying formulation of amorphous solid dispersions
Singh, A., & Van den Mooter, G. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.12.010 · Cited by 526
Recent applications of multicomponent reactions in medicinal chemistry
Slobbe, P., Ruijter, E., & Orru, R. V. A. (2012) · MedChemComm · doi:10.1039/c2md20089a · Cited by 484
Metadata
- Authors
- Keserű, G. M., & Makara, G. M.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2006-08
- Volume
- 11
- Issue
- 15-16
- Pages
- 741-748
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2156121510
- Cited by
- 256
- References
- 62
- FWCI
- 18.11
- 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: Hit discovery and hit-to-lead approaches. https://app.cochat.ai/papers/10.1016/j.drudis.2006.06.016
- The paper
- Keserű, G. M., & Makara, G. M. (2006). Hit discovery and hit-to-lead approaches. Drug Discovery Today. https://doi.org/10.1016/j.drudis.2006.06.016
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.
