The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Prediction of ADMET Properties
Abstract
This Review describes some of the approaches and techniques used today to derive in silico models for the prediction of ADMET properties. The article also discusses some of the fundamental requirements for deriving statistically sound and predictive ADMET relationships as well as some of the pitfalls and problems encountered during these investigations. It is the intension of the authors to make the reader aware of some of the challenges involved in deriving useful in silico ADMET models for drug development.
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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
Molecular properties that influence the oral bioavailability of drug candidates
Veber, D. F., Johnson, S. R., Cheng, H.-Y., Smith, B. R., Ward, K. W., & Kopple, K. D. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm020017n · Cited by 8,420
Amidon, G. L., Lennernäs, H., Shah, V. P., & Crison, J. R. (1995) · Pharmaceutical Research · doi:10.1023/a:1016212804288 · Cited by 5,430
Can the pharmaceutical industry reduce attrition rates?
Kola, I., & Landis, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1470 · Cited by 4,167
Kansy, M., Senner, F., & Gubernator, K. (1998) · Journal of Medicinal Chemistry · doi:10.1021/jm970530e · Cited by 1,304
Charman, W. N., Porter, C. J. H., Mithani, S., & Dressman, J. B. (1997) · Journal of Pharmaceutical Sciences · doi:10.1021/js960085v · Cited by 617
Cited by
Efficient Drug Lead Discovery and Optimization
Jorgensen, W. L. (2009) · Accounts of Chemical Research · doi:10.1021/ar800236t · Cited by 649
Artificial intelligence in drug discovery: recent advances and future perspectives
Jiménez-Luna, J., Grisoni, F., Weskamp, N., & Schneider, G. (2021) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2021.1909567 · Cited by 464
Artificial Intelligence and the Future of Diagnostic and Therapeutic Radiopharmaceutical Development
Ataeinia, B., & Heidari, P. (2021) · PET Clinics · doi:10.1016/j.cpet.2021.06.008 · Cited by 31
Large Language Model Agent for Modular Task Execution in Drug Discovery
Ock, J., Meda, R. S., Badrinarayanan, S., Aluru, N. S., Chandrasekhar, A., & Barati Farimani, A. (2026) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c02454 · Cited by 5
Metadata
- Authors
- Norinder, U., & Bergström, C. A. S.
- Venue
- ChemMedChem
- Publisher
- Wiley
- Published
- 2006-09
- Volume
- 1
- Issue
- 9
- Pages
- 920-937
- ISSN
- 1860-7179 (ISSN-L)
- 1860-7187
- OpenAlex
- W2148809858
- Cited by
- 285
- References
- 6
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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