EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources

DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism

(2022) Yong Shi et al.   METHODS

Text-Mining Approach to Identify Hub Genes of Cancer Metastasis and Potential Drug Repurposing to Target Them

(2022) Trishna Saha Detroja et al.   Journal of Clinical Medicine

RLFDDA: a meta-path based graph representation learning model for drug–disease association prediction

(2022) Meng-Long Zhang et al.   BMC BIOINFORMATICS

OWL2Vec*: embedding of OWL ontologies

(2021) Jiaoyan Chen et al.   MACHINE LEARNING

Drug repurposing improves disease targeting 11-fold and can be augmented by network module targeting, applied to COVID-19

(2021) Inés Rivero-García et al.   Scientific Reports

Drug Repurposing: An Emerging Tool for Drug Reuse, Recycling and Discovery

(2021) Supriya Roy et al.   Current Drug Research Reviews

Estimated Research and Development Investment Needed to Bring a New Medicine to Market, 2009-2018

(2020) Olivier J. Wouters et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

(2020) Yadi Zhou et al.   Cell Discovery

Artificial intelligence approach fighting COVID-19 with repurposing drugs

(2020) Yi-Yu Ke et al.   Biomedical Journal

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph

(2020) Yongjun Zhu et al.   Health Informatics Journal

A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions

(2020) Tamer N. Jarada et al.   Journal of Cheminformatics

COMPARE Analysis, a Bioinformatic Approach to Accelerate Drug Repurposing against Covid-19 and Other Emerging Epidemics

(2020) Imad Naasani   SLAS Discovery

Pattern-based bootstrapping framework for biomedical relation extraction

(2020) S.S. Deepika et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Gene2vec: distributed representation of genes based on co-expression

(2019) Jingcheng Du et al.   BMC GENOMICS

deepDR: A network-based deep learning approach to in silico drug repositioning

(2019) Xiangxiang Zeng et al.   BIOINFORMATICS

Modeling aspects of the language of life through transfer-learning protein sequences

(2019) Michael Heinzinger et al.   BMC BIOINFORMATICS

Semantic relation extraction using sequential and tree-structured LSTM with attention

(2019) ZhiQiang Geng et al.   INFORMATION SCIENCES

A novel computational approach for drug repurposing using systems biology

(2018) Azam Peyvandipour et al.   BIOINFORMATICS

Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations

(2018) Fatima Zohra Smaili et al.   BIOINFORMATICS

Computational drug repositioning with random walk on a heterogeneous network

(2018) Huimin Luo et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

(2018) Wen Zhang et al.   METHODS

RepTB: a gene ontology based drug repurposing approach for tuberculosis

(2018) Anurag Passi et al.   Journal of Cheminformatics

OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based prediction

(2018) Fatima Zohra Smaili et al.   BIOINFORMATICS

PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data

(2017) Feng He et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

The druggable genome and support for target identification and validation in drug development

(2017) Chris Finan et al.   Science Translational Medicine

Enhancing the Promise of Drug Repositioning through Genetics

(2017) Jayne-Louise E. Pritchard et al.   Frontiers in Pharmacology

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

(2016) Huimin Luo et al.   BIOINFORMATICS

A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction

(2016) Hakime Öztürk et al.   BMC BIOINFORMATICS

Cogena, a novel tool for co-expressed gene-set enrichment analysis, applied to drug repositioning and drug mode of action discovery

(2016) Zhilong Jia et al.   BMC GENOMICS

DISEASES: Text mining and data integration of disease–gene associations

(2015) Sune Pletscher-Frankild et al.   METHODS

A phenome-guided drug repositioning through a latent variable model

(2014) Halil Bisgin et al.   BMC BIOINFORMATICS

Drug–Disease Association and Drug-Repositioning Predictions in Complex Diseases Using Causal Inference–Probabilistic Matrix Factorization

(2014) Jihong Yang et al.   Journal of Chemical Information and Modeling

Computational Drug Repositioning: From Data to Therapeutics

(2013) M R Hurle et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

A Drug Repositioning Approach Identifies Tricyclic Antidepressants as Inhibitors of Small Cell Lung Cancer and Other Neuroendocrine Tumors

(2013) N. S. Jahchan et al.   Cancer Discovery

Drug Repositioning: A Machine-Learning Approach through Data Integration

(2013) Francesco Napolitano et al.   Journal of Cheminformatics

PREDICT: a method for inferring novel drug indications with application to personalized medicine

(2011) A. Gottlieb et al.   Molecular Systems Biology

Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data

(2011) M. Sirota et al.   Science Translational Medicine

Protein-protein interaction based on pairwise similarity

(2009) Nazar Zaki et al.   BMC BIOINFORMATICS