Heterogeneous network propagation with forward similarity integration to enhance drug-target association prediction.

ABSTRACT: Identification of drug-target interaction (DTI) is a crucial step to reduce time and cost in the drug discovery and development process. Since various biological data are publicly available, DTIs have been identified computationally. To predict DTIs, most existing methods focus on a single similarity measure of drugs and target proteins, whereas some recent methods integrate a particular set of drug and target similarity measures by a single integration function. Therefore, many DTIs are still missing. In this study, we propose heterogeneous network propagation with the forward similarity integration (FSI) algorithm, which systematically selects the optimal integration of multiple similarity measures of drugs and target proteins. Seven drug-drug and nine target-target similarity measures a

SUBMITTER: Tangmanussukum P 

PROVIDER: S-EPMC9575853 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature