DASPfind: new efficient method to predict drug-target interactions.

ABSTRACT:

Background

Identification of novel drug-target interactions (DTIs) is important for drug discovery. Experimental determination of such DTIs is costly and time consuming, hence it necessitates the development of efficient computational methods for the accurate prediction of potential DTIs. To-date, many computational methods have been proposed for this purpose, but they suffer the drawback of a high rate of false positive predictions.

Results

Here, we developed a novel computational DTI prediction method, DASPfind. DASPfind uses simple paths of particular lengths inferred from a graph that describes DTIs, similarities between drugs, and similarities between the protein targets of drugs. We show that on average, over the four gold standard DTI datasets, DASPfind significantly

SUBMITTER: Ba-Alawi W 

PROVIDER: S-EPMC4793623 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature