Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

SuperTarget goes quantitative: update on drug-target interactions

(2011) N. Hecker et al.   NUCLEIC ACIDS RESEARCH

KEGG for integration and interpretation of large-scale molecular data sets

(2011) M. Kanehisa et al.   NUCLEIC ACIDS RESEARCH

ChEMBL: a large-scale bioactivity database for drug discovery

(2011) A. Gaulton et al.   NUCLEIC ACIDS RESEARCH

Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework

(2010) Y. Yamanishi et al.   BIOINFORMATICS

DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs

(2010) C. Knox et al.   NUCLEIC ACIDS RESEARCH

Supervised prediction of drug–target interactions using bipartite local models

(2009) Kevin Bleakley et al.   BIOINFORMATICS

Ligand Prediction for Orphan Targets Using Support Vector Machines and Various Target-Ligand Kernels Is Dominated by Nearest Neighbor Effects

(2009) Anne Mai Wassermann et al.   Journal of Chemical Information and Modeling

Protein-ligand interaction prediction: an improved chemogenomics approach

(2008) Laurent Jacob et al.   BIOINFORMATICS

Prediction of drug-target interaction networks from the integration of chemical and genomic spaces

(2008) Y. Yamanishi et al.   BIOINFORMATICS