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Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
Drug-drug interaction (DDI) is a change in the effect of a drug when patient takes another drug. Characterizing DDIs is extremely important to avoid potential adverse drug reactions. We represent DDIs as a complex network in which nodes refer to drugs and links refer to their potential interactions....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940181/ https://www.ncbi.nlm.nih.gov/pubmed/29738537 http://dx.doi.org/10.1371/journal.pone.0196865 |