The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Adding calorimetric data to decision making in lead discovery: a hot tip
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
Drug-like properties and the causes of poor solubility and poor permeability
Lipinski, C. A. (2000) · Journal of Pharmacological and Toxicological Methods · doi:10.1016/s1056-8719(00)00107-6 · Cited by 3,734
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
Ligand efficiency: a useful metric for lead selection
Hopkins, A. L., Groom, C. R., & Alex, A. (2004) · Drug Discovery Today · doi:10.1016/s1359-6446(04)03069-7 · Cited by 1,846
Coupling of Local Folding to Site-Specific Binding of Proteins to DNA
Spolar, R. S., & Record, M. T. (1994) · Science · doi:10.1126/science.8303294 · Cited by 1,401
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
Rees, D. C., Congreve, Murray, C. W., & Carr, R. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1467 · Cited by 798
Protein Structure and the Energetics of Protein Stability
Robertson, A. D., & Murphy, K. P. (1997) · Chemical Reviews · doi:10.1021/cr960383c · Cited by 679
Ligand efficiency indices as guideposts for drug discovery
Abad-Zapatero, C., & Metz, J. T. (2005) · Drug Discovery Today · doi:10.1016/s1359-6446(05)03386-6 · Cited by 527
Ladbury, J. E. (1996) · Chemistry & Biology · doi:10.1016/s1074-5521(96)90164-7 · Cited by 520
Self-citationDo enthalpy and entropy distinguish first in class from best in class?
Freire, E. (2008) · Drug Discovery Today · doi:10.1016/j.drudis.2008.07.005 · Cited by 491
Self-citation
Cited by
The role of ligand efficiency metrics in drug discovery
Hopkins, A. L., Keserü, G. M., Leeson, P. D., Rees, D. C., & Reynolds, C. H. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4163 · Cited by 1,181
Entropy-Enthalpy Compensation: Role and Ramifications in Biomolecular Ligand Recognition and Design
Chodera, J. D., & Mobley, D. L. (2013) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-083012-130318 · Cited by 531
Biophysics in drug discovery: impact, challenges and opportunities
Renaud, J.-P., Chung, C.-W., Danielson, U. H., Egner, U., Hennig, M., Hubbard, R. E., & Nar, H. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.123 · Cited by 382
Baum, B., Muley, L., Smolinski, M., Heine, A., Hangauer, D., & Klebe, G. (2010) · Journal of Molecular Biology · doi:10.1016/j.jmb.2010.02.007 · Cited by 157
Self-citationIncreasing the efficiency of ligands for FK506-binding protein 51 by conformational control
Wang, Y., Kirschner, A., Fabian, A.-K., Gopalakrishnan, R., Kress, C., Hoogeland, B., Koch, U., Kozany, C., Bracher, A., & Hausch, F. (2013) · Journal of Medicinal Chemistry · doi:10.1021/jm400087k · Cited by 60
Metadata
- Authors
- Ladbury, J. E., Klebe, G., & Freire, E.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2009-12-04
- Volume
- 9
- Issue
- 1
- Pages
- 23-27
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W1981202673
- Cited by
- 398
- References
- 26
- FWCI
- 2.80
- 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: Adding calorimetric data to decision making in lead discovery: a hot tip. https://app.cochat.ai/papers/10.1038/nrd3054
- The paper
- Ladbury, J. E., Klebe, G., & Freire, E. (2010). Adding calorimetric data to decision making in lead discovery: a hot tip. Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd3054
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.