Drug-drug relationship based on target information: application to drug target identification.

ABSTRACT:

Background

Drugs that bind to common targets likely exert similar activities. In this target-centric view, the inclusion of richer target information may better represent the relationships between drugs and their activities. Under this assumption, we expanded the "common binding rule" assumption of QSAR to create a new drug-drug relationship score (DRS).

Method

Our method uses various chemical features to encode drug target information into the drug-drug relationship information. Specifically, drug pairs were transformed into numerical vectors containing the basal drug properties and their differences. After that, machine learning techniques such as data cleaning, dimension reduction, and ensemble classifier were used to prioritize drug pairs bound to a common target. In oth

SUBMITTER: Park K 

PROVIDER: S-EPMC3287478 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature