Drug-target interaction prediction through domain-tuned network-based inference.

ABSTRACT:

Motivation

The identification of drug-target interaction (DTI) represents a costly and time-consuming step in drug discovery and design. Computational methods capable of predicting reliable DTI play an important role in the field. Recently, recommendation methods relying on network-based inference (NBI) have been proposed. However, such approaches implement naive topology-based inference and do not take into account important features within the drug-target domain.

Results

In this article, we present a new NBI method, called domain tuned-hybrid (DT-Hybrid), which extends a well-established recommendation technique by domain-based knowledge including drug and target similarity. DT-Hybrid has been extensively tested using the last version of an experimentally validated DTI dat

SUBMITTER: Alaimo S 

PROVIDER: S-EPMC3722516 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature