The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
The application of in silico drug-likeness predictions in pharmaceutical research
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
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
Lead- and drug-like compounds: the rule-of-five revolution
Lipinski, C. A. (2004) · Drug Discovery Today: Technologies · doi:10.1016/j.ddtec.2004.11.007 · Cited by 6,199
Natural products as sources of new drugs over the last 25 years
Newman, D. J., & Cragg, G. M. (2007) · Journal of Natural Products · doi:10.1021/np068054v · Cited by 5,517
Natural products as sources of new drugs over the 30 years from 1981 to 2010
Newman, D. J., & Cragg, G. M. (2012) · Journal of Natural Products · doi:10.1021/np200906s · Cited by 4,687
Can the pharmaceutical industry reduce attrition rates?
Kola, I., & Landis, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1470 · Cited by 4,167
Natural products as sources of new drugs over the period 1981–2002
Newman, D. J., Cragg, G. M., & Snader, K. M. (2003) · Journal of Natural Products · doi:10.1021/np030096l · Cited by 3,082
Ghose, A. K., Viswanadhan, V. N., & Wendoloski, J. J. (1999) · Journal of Combinatorial Chemistry · doi:10.1021/cc9800071 · Cited by 3,068
The Properties of Known Drugs. 1. Molecular Frameworks
Bemis, G. W., & Murcko, M. A. (1996) · Journal of Medicinal Chemistry · doi:10.1021/jm9602928 · Cited by 2,482
Cited by
Daina, A., Michielin, O., & Zoete, V. (2017) · Scientific Reports · doi:10.1038/srep42717 · Cited by 18,367
Iridoids and other monoterpenes in the Alzheimer’s brain: Recent development and future prospects
Habtemariam, S. (2018) · Molecules · doi:10.3390/molecules23010117 · Cited by 55
In vitro assessment of a computer-designed potential anticancer agent in cervical cancer cells
Visagie, M. H., Jaiswal, S. R., & Joubert, A. M. (2016) · Biological Research · doi:10.1186/s40659-016-0104-5 · Cited by 11
Metadata
- Authors
- Tian, S., Wang, J., Li, Y., Li, D., Xu, L., & Hou, T.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 86
- Pages
- 2-10
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W1987612487
- Cited by
- 498
- References
- 85
- FWCI
- 2.21
- 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.
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How to cite
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- This page
- CoChat. (2026). Citation check: The application of in silico drug-likeness predictions in pharmaceutical research. https://app.cochat.ai/papers/10.1016/j.addr.2015.01.009
- The paper
- Tian, S., Wang, J., Li, Y., Li, D., Xu, L., & Hou, T. (2015). The application of in silico drug-likeness predictions in pharmaceutical research. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2015.01.009
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.