DPDDI: a deep predictor for drug-drug interactions
Abstract Background The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of unanticipated adverse effects and even unknown toxicity. DDI detection in the wet lab is expensive and time-consuming. Thus...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-09-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-03724-x |