A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond
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Title
A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-05-25
DOI
10.1093/bib/bbaa126
References
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Related references
Note: Only part of the references are listed.- Biomedical data and computational models for drug repositioning: a comprehensive review
- (2020) Huimin Luo et al. BRIEFINGS IN BIOINFORMATICS
- Scale-free networks are rare
- (2019) Anna D. Broido et al. Nature Communications
- deepDR: A network-based deep learning approach to in silico drug repositioning
- (2019) Xiangxiang Zeng et al. BIOINFORMATICS
- Measure clinical drug–drug similarity using Electronic Medical Records
- (2019) Xian Zeng et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method
- (2019) Mohan Timilsina et al. Scientific Reports
- Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
- (2019) Narjes Rohani et al. Scientific Reports
- Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces
- (2019) Yi Zheng et al. BMC BIOINFORMATICS
- Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
- (2018) Andrej Kastrin et al. PLoS One
- Deep learning improves prediction of drug–drug and drug–food interactions
- (2018) Jae Yong Ryu et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- RepTB: a gene ontology based drug repurposing approach for tuberculosis
- (2018) Anurag Passi et al. Journal of Cheminformatics
- A similarity-based method for prediction of drug side effects with heterogeneous information
- (2018) Xian Zhao et al. MATHEMATICAL BIOSCIENCES
- Network-Based Methods for Prediction of Drug-Target Interactions
- (2018) Zengrui Wu et al. Frontiers in Pharmacology
- Computational prediction of drug-drug interactions based on drugs functional similarities
- (2017) Reza Ferdousi et al. JOURNAL OF BIOMEDICAL INFORMATICS
- DrugBank 5.0: a major update to the DrugBank database for 2018
- (2017) David S Wishart et al. NUCLEIC ACIDS RESEARCH
- A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
- (2017) Yunan Luo et al. Nature Communications
- A standard database for drug repositioning
- (2017) Adam S. Brown et al. Scientific Data
- A probabilistic approach for collective similarity-based drug–drug interaction prediction
- (2016) Dhanya Sridhar et al. BIOINFORMATICS
- Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm
- (2016) Huimin Luo et al. BIOINFORMATICS
- Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
- (2016) Maxim V. Kuleshov et al. NUCLEIC ACIDS RESEARCH
- DrugCentral: online drug compendium
- (2016) Oleg Ursu et al. NUCLEIC ACIDS RESEARCH
- KEGG: new perspectives on genomes, pathways, diseases and drugs
- (2016) Minoru Kanehisa et al. NUCLEIC ACIDS RESEARCH
- Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations
- (2016) Santiago Vilar et al. Journal of Cheminformatics
- The SIDER database of drugs and side effects
- (2015) Michael Kuhn et al. NUCLEIC ACIDS RESEARCH
- Drug-Path: a database for drug-induced pathways
- (2015) Hui Zeng et al. Database-The Journal of Biological Databases and Curation
- Drug repositioning by integrating target information through a heterogeneous network model
- (2014) Wenhui Wang et al. BIOINFORMATICS
- Similarity-based machine learning methods for predicting drug–target interactions: a brief review
- (2013) Hao Ding et al. BRIEFINGS IN BIOINFORMATICS
- Data-Driven Prediction of Drug Effects and Interactions
- (2012) N. P. Tatonetti et al. Science Translational Medicine
- GOSemSim: an R package for measuring semantic similarity among GO terms and gene products
- (2010) G. Yu et al. BIOINFORMATICS
- Discovery of drug mode of action and drug repositioning from transcriptional responses
- (2010) F. Iorio et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- SMPDB: The Small Molecule Pathway Database
- (2009) Alex Frolkis et al. NUCLEIC ACIDS RESEARCH
- ChemmineR: a compound mining framework for R
- (2008) Y. Cao et al. BIOINFORMATICS
- Drug Target Identification Using Side-Effect Similarity
- (2008) M. Campillos et al. SCIENCE
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