Drug–target interaction prediction: databases, web servers and computational models

X Chen, CC Yan, X Zhang, X Zhang, F Dai… - Briefings in …, 2016 - academic.oup.com
Identification of drug–target interactions is an important process in drug discovery. Although
high-throughput screening and other biological assays are becoming available …

Machine learning for drug-target interaction prediction

R Chen, X Liu, S **, J Lin, J Liu - Molecules, 2018 - mdpi.com
Identifying drug-target interactions will greatly narrow down the scope of search of candidate
medications, and thus can serve as the vital first step in drug discovery. Considering that in …

The Drug Repurposing Hub: a next-generation drug library and information resource

SM Corsello, JA Bittker, Z Liu, J Gould, P McCarren… - Nature medicine, 2017 - nature.com
CORRESPONDENCE (tool compounds are valuable for achieving the target redundancy
needed to differentiate on-target from off-target activities of clinical drugs being considered …

The BioGRID interaction database: 2017 update

A Chatr-Aryamontri, R Oughtred, L Boucher… - Nucleic acids …, 2017 - academic.oup.com
Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the annotation and archival …

Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics

YH Li, CY Yu, XX Li, P Zhang, J Tang… - Nucleic acids …, 2018 - academic.oup.com
Extensive efforts have been directed at the discovery, investigation and clinical monitoring of
targeted therapeutics. These efforts may be facilitated by the convenient access of the …

RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes

T Brettin, JJ Davis, T Disz, RA Edwards, S Gerdes… - Scientific reports, 2015 - nature.com
Abstract The RAST (Rapid Annotation using Subsystem Technology) annotation engine was
built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard …

Understanding multicellular function and disease with human tissue-specific networks

CS Greene, A Krishnan, AK Wong, E Ricciotti… - Nature …, 2015 - nature.com
Tissue and cell-type identity lie at the core of human physiology and disease. Understanding
the genetic underpinnings of complex tissues and individual cell lineages is crucial for …

DSigDB: drug signatures database for gene set analysis

M Yoo, J Shin, J Kim, KA Ryall, K Lee, S Lee… - …, 2015 - academic.oup.com
We report the creation of Drug Signatures Database (DSigDB), a new gene set resource that
relates drugs/compounds and their target genes, for gene set enrichment analysis (GSEA) …

WITHDRAWN—a resource for withdrawn and discontinued drugs

VB Siramshetty, J Nickel, C Omieczynski… - Nucleic acids …, 2016 - academic.oup.com
Post-marketing drug withdrawals can be associated with various events, ranging from safety
issues such as reported deaths or severe side-effects, to a multitude of non-safety problems …

[HTML][HTML] A comprehensive review of feature based methods for drug target interaction prediction

K Sachdev, MK Gupta - Journal of biomedical informatics, 2019 - Elsevier
Drug target interaction is a prominent research area in the field of drug discovery. It refers to
the recognition of interactions between chemical compounds and the protein targets in the …