DDI-CPI, a server that predicts drug-drug interactions through implementing the chemical-protein interactome.

ABSTRACT: Drug-drug interactions (DDIs) may cause serious side-effects that draw great attention from both academia and industry. Since some DDIs are mediated by unexpected drug-human protein interactions, it is reasonable to analyze the chemical-protein interactome (CPI) profiles of the drugs to predict their DDIs. Here we introduce the DDI-CPI server, which can make real-time DDI predictions based only on molecular structure. When the user submits a molecule, the server will dock user's molecule across 611 human proteins, generating a CPI profile that can be used as a feature vector for the pre-constructed prediction model. It can suggest potential DDIs between the user's molecule and our library of 2515 drug molecules. In cross-validation and independent validation, the server achieved an AUC gre

SUBMITTER: Luo H 

PROVIDER: S-EPMC4086096 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature