The DOI matches its Crossref record.
Publisher Correction: Network-based prediction of drug combinations
Open accessAbstract
The original version of this Article contained an error in Acknowledgements, which incorrectly omitted the following: ‘This work was also supported by NHLBI grant P01HL132825 to A.-L.B.’ This has been corrected in both the PDF and HTML versions of the Article.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
Cited by
Sorted by citations
Artificial intelligence in COVID-19 drug repurposing
Zhou, Y., Wang, F., Tang, J., Nussinov, R., & Cheng, F. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30192-8 · Cited by 636
A foundation model for clinician-centered drug repurposing
Huang, K., Chandak, P., Wang, Q., Havaldar, S., Vaid, A., Leskovec, J., Nadkarni, G. N., Glicksberg, B. S., Gehlenborg, N., & Zitnik, M. (2024) · Nature Medicine · doi:10.1038/s41591-024-03233-x · Cited by 249
MatchMaker: A Deep Learning Framework for Drug Synergy Prediction
Kuru, H. İ., Taştan, Ö., & Çiçek, A. E. (2021) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2021.3086702 · Cited by 192
A review of artificial intelligence applications for antimicrobial resistance
Lv, J. Z., Deng, S., & Zhang, L. (2020) · Biosafety and Health · doi:10.1016/j.bsheal.2020.08.003 · Cited by 167
Network-based modeling of herb combinations in traditional Chinese medicine
Wang, Y., Yang, H., Chen, L., Jafari, M., & Tang, J. P. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab106 · Cited by 160
Metadata
- Authors
- Cheng, F., Kovács, I. A., & Barabási, A.-L.
- Affiliations
- Northeastern University (US)
- Venue
- Nature Communications
- Published
- 2019-04-15
- Volume
- 10
- Issue
- 1
- Pages
- 1806-1806
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6465348
- OpenAlex
- W2938214930
- Cited by
- 131
- References
- 0
- Citations by year
- 2026: 4 · 2025: 19 · 2024: 18 · 2023: 28 · 2022: 22 · 2021: 25 · 2020: 14 · 2019: 1
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Open Research (Auckland University of Technology) (submittedVersion, cc-by)
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- combination therapy, network-based prediction, drug repurposing, drug synergy
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