The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
High-throughput drug discovery: What can we expect from HTS?
Overview
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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
Cited by
From DFT to machine learning: recent approaches to materials science–a review
Schleder, G. R., Padilha, A. C. M., Acosta, C. M., Costa, M., & Fazzio, A. (2019) · Journal of Physics: Materials · doi:10.1088/2515-7639/ab084b · Cited by 852
Structure-based drug screening for G-protein-coupled receptors
Shoichet, B. K., & Kobilka, B. K. (2012) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2012.03.007 · Cited by 294
Ligand efficiency and fragment-based drug discovery
Bembenek, S. D., Tounge, B. A., & Reynolds, C. H. (2009) · Drug Discovery Today · doi:10.1016/j.drudis.2008.11.007 · Cited by 196
Smith, A. J. T., Zhang, X., Leach, A. G., & Houk, K. N. (2009) · Journal of Medicinal Chemistry · doi:10.1021/jm800498e · Cited by 193
The Design of Covalent Allosteric Drugs
Nussinov, R., & Tsai, C.-J. (2015) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010814-124401 · Cited by 112
Metadata
- Authors
- Gribbon, P., & Andreas, S.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 10
- Issue
- 1
- Pages
- 17-22
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2087147641
- Cited by
- 174
- References
- 1
- FWCI
- 16.32
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- CoChat. (2026). Citation check: High-throughput drug discovery: What can we expect from HTS? https://app.cochat.ai/papers/10.1016/s1359-6446(04)03275-1
- The paper
- Gribbon, P., & Andreas, S. (2005). High-throughput drug discovery: What can we expect from HTS? Drug Discovery Today. https://doi.org/10.1016/s1359-6446(04)03275-1
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.
