A kernel matrix dimension reduction method for predicting drug-target interaction
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2017.01.016
Abstract: Abstract The prediction of drug-target interactions plays an important role in the drug discovery process, which serves to identify new drugs or novel targets for existing drugs. However, experimental methods for predicting drug-target interactions are… read more here.
Keywords: predicting drug; kernel matrix; target interaction; drug ... See more keywords
Predicting drug-target interactions by dual-network integrated logistic matrix factorization
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep40376
Abstract: In this work, we propose a dual-network integrated logistic matrix factorization (DNILMF) algorithm to predict potential drug-target interactions (DTI). The prediction procedure consists of four steps: (1) inferring new drug/target profiles and constructing profile kernel… read more here.
Keywords: kernel matrix; target; drug; drug target ... See more keywords