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

The linear neighborhood propagation method for predicting long non-coding RNA–protein interactions

(2018) Wen Zhang 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

PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm

(2017) Qian Xu et al.   JOURNAL OF THEORETICAL BIOLOGY

Drug-target interaction prediction using ensemble learning and dimensionality reduction

(2017) Ali Ezzat et al.   METHODS

Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression

(2017) Krisztian Buza et al.   NEUROCOMPUTING

A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs

(2016) Dingfang Li et al.   BMC BIOINFORMATICS

A novel machine learning method for cytokine-receptor interaction prediction

(2016) Leyi Wei et al.   COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING

An Empirical Study of Features Fusion Techniques for Protein-Protein Interaction Prediction

(2016) Jiancang Zeng et al.   Current Bioinformatics

Predicting potential side effects of drugs by recommender methods and ensemble learning

(2016) Wen Zhang et al.   NEUROCOMPUTING

Accurate Prediction of Transposon-Derived piRNAs by Integrating Various Sequential and Physicochemical Features

(2016) Longqiang Luo et al.   PLoS One

Predicting drug side effects by multi-label learning and ensemble learning

(2015) Wen Zhang et al.   BMC BIOINFORMATICS

Deciphering the association between gene function and spatial gene-gene interactions in 3D human genome conformation

(2015) Renzhi Cao et al.   BMC GENOMICS

Accurate Prediction of Immunogenic T-Cell Epitopes from Epitope Sequences Using the Genetic Algorithm-Based Ensemble Learning

(2015) Wen Zhang et al.   PLoS One

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

(2013) Hao Ding et al.   BRIEFINGS IN BIOINFORMATICS

DrugBank 4.0: shedding new light on drug metabolism

(2013) Vivian Law et al.   NUCLEIC ACIDS RESEARCH

Drugs, non-drugs, and disease category specificity: organ effects by ligand pharmacology1

(2013) A.T. García-Sosa et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers

(2012) Y. Tabei 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

Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features

(2012) Wen Zhang et al.   International Journal of Data Mining and Bioinformatics

DrugLogit: Logistic Discrimination between Drugs and Nondrugs Including Disease-Specificity by Assigning Probabilities Based on Molecular Properties

(2012) Alfonso T. García-Sosa et al.   Journal of Chemical Information and Modeling

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

(2012) Xing Chen et al.   Molecular BioSystems

Computational Prediction of Conformational B-Cell Epitopes from Antigen Primary Structures by Ensemble Learning

(2012) Wen Zhang et al.   PLoS One

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

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

(2010) Zheng Xia et al.   BMC Systems Biology

PubChem as a public resource for drug discovery

(2010) Qingliang Li et al.   DRUG DISCOVERY TODAY

Computationally Probing Drug-Protein Interactions Via Support Vector Machine

(2010) Yong-Cui Wang et al.   Letters in Drug Design & Discovery

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

KEGG for representation and analysis of molecular networks involving diseases and drugs

(2009) Minoru Kanehisa et al.   NUCLEIC ACIDS RESEARCH

PubChem: a public information system for analyzing bioactivities of small molecules

(2009) Y. Wang et al.   NUCLEIC ACIDS RESEARCH

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

Large-scale prediction of drug-target relationships

(2008) Michael Kuhn et al.   FEBS LETTERS

Label Propagation through Linear Neighborhoods

(2007) Fei Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING