NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations.
TLDR
The ncRNA Drug Targets Database (NRDTD) as discussed by the authors ) is a database that contains 165 entries of clinically or experimentally supported ncRNAs as drug targets.Abstract:
In recent years, more and more non-coding RNAs (ncRNAs) have been identified and increasing evidences have shown that ncRNAs may affect gene expression and disease progression, making them a new class of targets for drug discovery It thus becomes important to understand the relationship between ncRNAs and drug targets For this purpose, an ncRNAs and drug targets association database would be extremely beneficial Here, we developed ncRNA Drug Targets Database (NRDTD) that collected 165 entries of clinically or experimentally supported ncRNAs as drug targets, including 97 ncRNAs and 96 drugs Moreover, we annotated ncRNA-drug target associations with drug information from KEGG, PubChem, DrugBank, CTD or Wikipedia, GenBank sequence links, OMIM disease ID, pathway and function annotation for ncRNAs, detailed description of associations between ncRNAs and diseases from HMDD or LncRNADisease and the publication PubMed ID Additionally, we provided users a link to submit novel diseasenc-RNA-drug associations and corresponding supporting evidences into the database We hope NRDTD will be a useful resource for investigating the roles of ncRNAs in drug target identification, drug discovery and disease treatmentread more
Citations
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Noncoding RNA therapeutics - challenges and potential solutions.
TL;DR: In this article, the authors discuss key challenges facing ncRNA therapeutics, including issues associated with specificity, delivery and tolerability, and focus on promising emerging approaches that aim to boost their success.
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Predicting miRNA-disease association based on inductive matrix completion.
TL;DR: A novel model of Inductive Matrix Completion for MiRNA‐Disease Association prediction (IMCMDA) to complete the missing miRNA‐disease association based on the known associations and the integrated miRNA similarity and disease similarity.
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Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.
TL;DR: This article describes the data used in computational DTI prediction efforts, and categorize and elaborate the state-of-the-art methods for predicting DTIs, discussing the advantages and disadvantages of each method.
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Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
TL;DR: A novel method of neural inductive matrix completion with graph convolutional network (NIMCGCN) for predicting miRNA-disease association and compared with other state-of-the-art methods showed that the method is significantly superior to existing methods.
Journal ArticleDOI
MicroRNA-small molecule association identification: from experimental results to computational models.
TL;DR: Four experimental techniques used in the past few years to search for small-molecule inhibitors of miRNAs, as well as three types of models of predicting small molecule-miRNA associations from different perspectives are reviewed.
References
More filters
Journal ArticleDOI
Database resources of the National Center for Biotechnology Information
David L. Wheeler,Deanna M. Church,Ron Edgar,Scott Federhen,Wolfgang Helmberg,Thomas L. Madden,Joan Pontius,Gregory D. Schuler,Lynn M. Schriml,Edwin Sequeira,Tugba O. Suzek,Tatiana Tatusova,Lukas Wagner +12 more
TL;DR: In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI’s website.
Journal ArticleDOI
MicroRNAs: small RNAs with a big role in gene regulation
Lin He,Gregory J. Hannon +1 more
TL;DR: Two founding members of the microRNA family were originally identified in Caenorhabditis elegans as genes that were required for the timed regulation of developmental events and indicate the existence of multiple RISCs that carry out related but specific biological functions.
Journal ArticleDOI
KEGG: new perspectives on genomes, pathways, diseases and drugs
TL;DR: The content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases, and the newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined.
Journal ArticleDOI
Sequence the Human Genome
TL;DR: This book aims to provide a history of Chinese modern art from 17th Century to the present day through the lens of 20th Century critics, practitioners, journalists, and mediaeval and modern-day critics.
Journal ArticleDOI
miRBase: annotating high confidence microRNAs using deep sequencing data.
Ana Kozomara,Sam Griffiths-Jones +1 more
TL;DR: An update of the miRBase database is described, including the collation and use of deep sequencing data sets to assign levels of confidence to miR base entries, and a high confidence subset of miR Base entries are provided, based on the pattern of mapped reads.