Identification of drug–target interactions via fuzzy bipartite local model

Revealing Drug-Target Interactions with Computational Models and Algorithms

(2019) Liqian Zhou et al.   MOLECULES

DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

(2019) Ingoo Lee et al.   PLoS Computational Biology

Survey of Similarity-based Prediction of Drug-protein Interactions.

(2018) Lukasz Kurgan et al.   CURRENT MEDICINAL CHEMISTRY

Identification of drug-side effect association via multiple information integration with centered kernel alignment

(2018) Yijie Ding et al.   NEUROCOMPUTING

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization

(2017) Ali Ezzat et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Identification of drug-target interactions via multiple information integration

(2017) Yijie Ding et al.   INFORMATION SCIENCES

Drug-Target Interaction Prediction through Label Propagation with Linear Neighborhood Information

(2017) Wen Zhang et al.   MOLECULES

A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

(2017) Yunan Luo et al.   Nature Communications

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors

(2017) Anna Cichonska et al.   PLoS Computational Biology

Predicting Drug–Target Interactions With Multi-Information Fusion

(2017) Lihong Peng et al.   IEEE Journal of Biomedical and Health Informatics

In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences

(2017) Zhengwei Li et al.   Scientific Reports

Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique

(2016) Ming Hao et al.   ANALYTICA CHIMICA ACTA

A multiple kernel learning algorithm for drug-target interaction prediction

(2016) André C. A. Nascimento et al.   BMC BIOINFORMATICS

Reaching optimized parameter set: protein secondary structure prediction using neural network

(2016) Jyotshna Dongardive et al.   NEURAL COMPUTING & APPLICATIONS

Drug–target interaction prediction from PSSM based evolutionary information

(2016) Zaynab Mousavian et al.   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction

(2016) Yong Liu et al.   PLoS Computational Biology

Representative Vector Machines: A Unified Framework for Classical Classifiers

(2016) Jie Gui et al.   IEEE Transactions on Cybernetics

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

(2015) Damian Smedley et al.   NUCLEIC ACIDS RESEARCH

Computational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features

(2014) Dong-Sheng Cao et al.   Molecular Informatics

LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

(2013) Chen Lin et al.   NEUROCOMPUTING

DrugBank 4.0: shedding new light on drug metabolism

(2013) Vivian Law et al.   NUCLEIC ACIDS RESEARCH

Large-scale prediction of drug–target interactions using protein sequences and drug topological structures

(2012) Dong-Sheng Cao et al.   ANALYTICA CHIMICA ACTA

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

(2012) M. Takarabe et al.   BIOINFORMATICS

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

(2012) M. Gonen   BIOINFORMATICS

Drug–target interaction prediction by learning from local information and neighbors

(2012) Jian-Ping Mei et al.   BIOINFORMATICS

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

(2012) Xing Chen et al.   Molecular BioSystems

BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA

(2012) Ida Schomburg et al.   NUCLEIC ACIDS RESEARCH

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

(2012) Feixiong Cheng et al.   PLoS Computational Biology

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

HYBP_PSSP: a hybrid back propagation method for predicting protein secondary structure

(2011) Wu Qu et al.   NEURAL COMPUTING & APPLICATIONS

SuperTarget goes quantitative: update on drug-target interactions

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

ChEMBL: a large-scale bioactivity database for drug discovery

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

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

Fast Gene Ontology based clustering for microarray experiments

(2009) Kristian Ovaska et al.   BioData Mining

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

(2008) Y. Yamanishi et al.   BIOINFORMATICS