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Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data
BACKGROUND: Drug-drug interactions (DDIs) are one of the major concerns in drug discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions in the entire lifecycle of drugs, and are important for the drug safety surveillance. RESULTS: Since many DDIs are not detected...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5217341/ https://ncbi.nlm.nih.gov/pubmed/28056782 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1415-9 |
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