The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
DRAR-CPI: a server for identifying drug repositioning potential and adverse drug reactions via the chemical–protein interactome
Open accessAbstract
Identifying new indications for existing drugs (drug repositioning) is an efficient way of maximizing their potential. Adverse drug reaction (ADR) is one of the leading causes of death among hospitalized patients. As both new indications and ADRs are caused by unexpected chemical-protein interactions on off-targets, it is reasonable to predict these interactions by mining the chemical-protein interactome (CPI). Making such predictions has recently been facilitated by a web server named DRAR-CPI. This server has a representative collection of drug molecules and targetable human proteins built up from our work in drug repositioning and ADR. When a user submits a molecule, the server will give the positive or negative association scores between the user's molecule and our library drugs based on their interaction profiles towards the targets. Users can thus predict the indications or ADRs of their molecule based on the association scores towards our library drugs. We have matched our predictions of drug-drug associations with those predicted via gene-expression profiles, achieving a matching rate as high as 74%. We have also successfully predicted the connections between anti-psychotics and anti-infectives, indicating the underlying relevance of anti-psychotics in the potential treatment of infections, vice versa. This server is freely available at http://cpi.bio-x.cn/drar/.
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“It is noteworthy that all ML methods showed relatively small differences in predictive accuracy and the advantage of the DNN was not readily apparent.”
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“The performance of several ML methods was evaluated, and again kNN generated the best results, while SEA showed the lowest predictivity.”
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Effect of Rosiglitazone on the Risk of Myocardial Infarction and Death from Cardiovascular Causes
Nissen, S. E., & Wolski, K. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072761 · Cited by 4,675
Drug repositioning: identifying and developing new uses for existing drugs
Ashburn, T. T., & Thor, K. B. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1468 · Cited by 3,237
DrugBank: a knowledgebase for drugs, drug actions and drug targets
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Self-citationPredicting new molecular targets for known drugs
Keiser, M. J., Setola, V., Irwin, J. J., Laggner, C., Abbas, A. I., Hufeisen, S. J., Jensen, N. H., Kuijer, M. B., Matos, R. C., Tran, T. B., et al. (2009) · Nature · doi:10.1038/nature08506 · Cited by 1,667
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Zhang, H., Wang, L., Liu, X., Cao, Y., Zhao, T., Yao, Q., Yue, W., & Wu, L. (2020) · ChemRxiv · doi:10.26434/chemrxiv.12388997
Preclinical: Drug Target Identification and Validation in Humans
Singh, H., & Kaur, R. P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00145-7
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Bordoni, C., Elstow, T. Z., Brancale, A., Clarkson, R. W. E., & Westwell, A. D. (2025) · Chemical Biology & Drug Design · doi:10.1111/cbdd.70221
Shaikh, F., Tai, H. K., Desai, N., & Siu, S. W. I. (2021) · Figshare · doi:10.6084/m9.figshare.14767201
Emon, M. A., Domingo-Fernández, D., Hoyt, C. T., & Hofmann‐Apitius, M. (2020) · Figshare · doi:10.6084/m9.figshare.12441401
Drug Repurposing: Exploring Newer Therapeutic Potential
Pancholi, B., Rao, A., & Garabadu, D. (2026) · Springer eBooks · doi:10.1007/978-981-95-4522-3_7
Metadata
- Authors
- Luo, H., Chen, J., Shi, L., Mikailov, M., Zhu, H., Wang, K., He, L., & Yang, L.
- Affiliations
- Shanghai Jiao Tong University (CN)
- United States Food and Drug Administration (US)
- Corresponding author
- He, Lin
- Yang, Lun
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-05-10
- Volume
- 39
- Issue
- suppl_2
- Pages
- W492-W498
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC3125745
- OpenAlex
- W2143251418
- Cited by
- 206
- References
- 54
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 5 · 2023: 12 · 2022: 10 · 2021: 17 · 2020: 18 · 2019: 26 · 2018: 17 · 2017: 13 · 2016: 22 · 2015: 14 · 2014: 15 · 2013: 14 · 2012: 13
- FWCI
- 13.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Health Sciences › Medicine › Health Informatics › Biomedical Text Mining and Ontologies
- Keywords
- drug repurposing, adverse drug reactions, off-target interactions, web server, gene expression profiles, anti-infective agents
- MeSH terms
- Rosiglitazone, Anti-Infective Agents, Pharmaceutical Preparations, Humans, Hypoglycemic Agents, Ligands, Proteins, Software, Antipsychotic Agents, Internet, Thiazolidinediones, Drug Repositioning, Drug-Related Side Effects and Adverse Reactions
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