Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces.
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.
DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions.
DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels.
Ionic Liquid Forms of the Antimalarial Lumefantrine in Combination with LFCS Type IIIB Lipid-Based Formulations Preferentially Increase Lipid Solubility, In Vitro Solubilization Behavior and In Vivo Exposure.
R-BIND: An Interactive Database for Exploring and Developing RNA-Targeted Chemical Probes.
Biological representation of chemicals using latent target interaction profile.
Evaluation of knowledge graph embedding approaches for drug-drug interaction prediction in realistic settings.
A network pharmacology approach to reveal the protective mechanism of Salvia miltiorrhiza-Dalbergia odorifera coupled-herbs on coronary heart disease.
System level characterization of small molecule drugs and their affected long noncoding RNAs.