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In silico profiling of systemic effects of drugs to predict unexpected interactions
Identifying unexpected drug interactions is an essential step in drug development. Most studies focus on predicting whether a drug pair interacts or is effective on a certain disease without considering the mechanism of action (MoA). Here, we introduce a novel method to infer effects and interaction...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5785495/ https://ncbi.nlm.nih.gov/pubmed/29371651 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-19614-5 |
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