DLS: A Link Prediction Method Based on Network Local Structure for Predicting Drug-Protein Interactions

A Comparative Study of Cluster Detection Algorithms in Protein–Protein Interaction for Drug Target Discovery and Drug Repurposing

(2019) Jun Ma et al.   Frontiers in Pharmacology

A network embedding-based multiple information integration method for the MiRNA-disease association prediction

(2019) Yuchong Gong et al.   BMC BIOINFORMATICS

SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug–drug interactions

(2019) Wen Zhang et al.   INFORMATION SCIENCES

Graph embedding on biomedical networks: methods, applications and evaluations

(2019) Xiang Yue et al.   BIOINFORMATICS

LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination

(2019) Wen Zhang et al.   BMC GENOMICS

A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations

(2019) Wen Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction

(2018) Xing Chen et al.   BIOINFORMATICS

Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network

(2018) Wen Zhang et al.   METHODS

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

(2018) Wen Zhang et al.   NEUROCOMPUTING

Angiotensin II Type 1 Receptor-associated Protein Inhibits Angiotensin II-induced Insulin Resistance with Suppression of Oxidative Stress in Skeletal Muscle Tissue

(2018) Kohji Ohki et al.   Scientific Reports

Drug repositioning using drug-disease vectors based on an integrated network

(2018) Taekeon Lee et al.   BMC BIOINFORMATICS

SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions

(2018) Wen Zhang et al.   PLoS Computational Biology

Network-Based Methods for Prediction of Drug-Target Interactions

(2018) Zengrui Wu et al.   Frontiers in Pharmacology

Link prediction in multi-relational networks based on relational similarity

(2017) Caiyan Dai et al.   INFORMATION SCIENCES

Drug Response Prediction as a Link Prediction Problem

(2017) Zachary Stanfield et al.   Scientific Reports

The human Drug–Disease–Gene Network

(2015) Peng Gang Sun   INFORMATION SCIENCES

Drug repositioning by integrating target information through a heterogeneous network model

(2014) Wenhui Wang et al.   BIOINFORMATICS

Exploring the Regulation Mechanism of miRNAs Transcription Using Genomic and Epigenetic Functional Annotations

(2014) Lihua Xie et al.   Current Bioinformatics

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

(2013) Hao Ding et al.   BRIEFINGS IN BIOINFORMATICS

A Two-step Similarity-based Method for Prediction of Drug’s Target Group

(2013) Lei Chen et al.   PROTEIN AND PEPTIDE LETTERS

Angiotensin Receptor–Binding Protein ATRAP/ Agtrap Inhibits Metabolic Dysfunction With Visceral Obesity

(2013) Akinobu Maeda et al.   Journal of the American Heart Association

Thalidomide attenuates multiple low-dose streptozotocin-induced diabetes in mice by inhibition of proinflammatory cytokines

(2012) K. Amirshahrokhi et al.   CYTOKINE

Prediction of Chemical-Protein Interactions Network with Weighted Network-Based Inference Method

(2012) Feixiong Cheng et al.   PLoS One

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

(2012) Feixiong Cheng et al.   PLoS Computational Biology

Link prediction in complex networks: A survey

(2010) Linyuan Lü et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Solving the apparent diversity-accuracy dilemma of recommender systems

(2010) T. Zhou et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Supervised prediction of drug–target interactions using bipartite local models

(2009) Kevin Bleakley et al.   BIOINFORMATICS

Predicting new molecular targets for known drugs

(2009) Michael J. Keiser et al.   NATURE

Accurate and diverse recommendations via eliminating redundant correlations

(2009) Tao Zhou et al.   NEW JOURNAL OF PHYSICS