A multiple kernel learning algorithm for drug-target interaction prediction

KeBABS: an R package for kernel-based analysis of biological sequences: Fig. 1.

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Rchemcpp: a web service for structural analoging in ChEMBL, Drugbank and the Connectivity Map: Fig. 1.

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Integrating multiple networks for protein function prediction

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The BioMart community portal: an innovative alternative to large, centralized data repositories

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Toward more realistic drug-target interaction predictions

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Kernelized Bayesian Matrix Factorization

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Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization

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Similarity-based machine learning methods for predicting drug–target interactions: a brief review

(2013) Hao Ding et al.   BRIEFINGS IN BIOINFORMATICS

Efficient regularized least-squares algorithms for conditional ranking on relational data

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The ChEMBL bioactivity database: an update

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Structure and dynamics of molecular networks: A novel paradigm of drug discovery

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Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data

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Drug target prediction using adverse event report systems: a pharmacogenomic approach

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

(2012) M. Gonen   BIOINFORMATICS

Drug–target interaction prediction by random walk on the heterogeneous network

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Flaws in evaluation schemes for pair-input computational predictions

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Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

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Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

Kernel-based data fusion improves the drug–protein interaction prediction

(2011) Yong-Cui Wang et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Combining Drug and Gene Similarity Measures for Drug-Target Elucidation

(2011) Liat Perlman et al.   JOURNAL OF COMPUTATIONAL BIOLOGY

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

(2010) Y. Yamanishi et al.   BIOINFORMATICS

Large-scale prediction of protein-protein interactions from structures

(2010) Martial Hue et al.   BMC BIOINFORMATICS

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

(2010) Zheng Xia et al.   BMC Systems Biology

Supervised prediction of drug–target interactions using bipartite local models

(2009) Kevin Bleakley et al.   BIOINFORMATICS

A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction

(2009) Shibin Qiu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Fast Gene Ontology based clustering for microarray experiments

(2009) Kristian Ovaska et al.   BioData Mining

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