Similarity-based modeling in large-scale prediction of drug-drug interactions.

ABSTRACT: Drug-drug interactions (DDIs) are a major cause of adverse drug effects and a public health concern, as they increase hospital care expenses and reduce patients' quality of life. DDI detection is, therefore, an important objective in patient safety, one whose pursuit affects drug development and pharmacovigilance. In this article, we describe a protocol applicable on a large scale to predict novel DDIs based on similarity of drug interaction candidates to drugs involved in established DDIs. The method integrates a reference standard database of known DDIs with drug similarity information extracted from different sources, such as 2D and 3D molecular structure, interaction profile, target and side-effect similarities. The method is interpretable in that it generates drug interaction candidat

SUBMITTER: Vilar S 

PROVIDER: S-EPMC4422192 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature