A multi-site feasibility study for personalized medicine in canines with osteosarcoma.
Proteome-wide prediction of self-interacting proteins based on multiple properties.
How Far Could We Go with Open Data - A Case Study for TRPV1 Antagonists.
eFindSite: improved prediction of ligand binding sites in protein models using meta-threading, machine learning and auxiliary ligands.
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.
Integrative relational machine-learning for understanding drug side-effect profiles.
Predicting the protein targets for athletic performance-enhancing substances.
Drug repositioning: a machine-learning approach through data integration.
Chemical genetics and its potential in cardiac stem cell therapy.
A community-driven global reconstruction of human metabolism.