TY - JOUR
T1 - DES-ncRNA
T2 - A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining
AU - Salhi, Adil
AU - Essack, Magbubah
AU - Alam, Tanvir
AU - Bajic, Vladan P.
AU - Ma, Lina
AU - Radovanovic, Aleksandar
AU - Marchand, Benoit
AU - Schmeier, Sebastian
AU - Zhang, Zhang
AU - Bajic, Vladimir B.
N1 - Publisher Copyright:
© 2017 The Author(s). Published with license by Taylor & Francis Group, LLC © 2017, © Adil Salhi, Magbubah Essack, Tanvir Alam, Vladan P. Bajic, Lina Ma, Aleksandar Radovanovic, Benoit Marchand, Sebastian Schmeier, Zhang Zhang, and Vladimir B. Bajic.
PY - 2017/7/3
Y1 - 2017/7/3
N2 - Noncoding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long ncRNAs (lncRNAs), are important players in diseases and emerge as novel drug targets. Thus, unraveling the relationships between ncRNAs and other biomedical entities in cells are critical for better understanding ncRNA roles that may eventually help develop their use in medicine. To support ncRNA research and facilitate retrieval of relevant information regarding miRNAs and lncRNAs from the plethora of published ncRNA-related research, we developed DES-ncRNA (www.cbrc.kaust.edu.sa/des_ncrna). DES-ncRNA is a knowledgebase containing text- and data-mined information from public scientific literature and other public resources. Exploration of mined information is enabled through terms and pairs of terms from 19 topic-specific dictionaries including, for example, antibiotics, toxins, drugs, enzymes, mutations, pathways, human genes and proteins, drug indications and side effects, mutations, diseases, etc. DES-ncRNA contains approximately 878,000 associations of terms from these dictionaries of which 36,222 (5,373) are with regards to miRNAs (lncRNAs). We provide several ways to explore information regarding ncRNAs to users including controlled generation of association networks as well as hypotheses generation. We show an example how DES-ncRNA can aid research on Alzheimer disease and suggest potential therapeutic role for Fasudil. DES-ncRNA is a powerful tool that can be used on its own or as a complement to the existing resources, to support research in human ncRNA. To our knowledge, this is the only knowledgebase dedicated to human miRNAs and lncRNAs derived primarily through literature-mining enabling exploration of a broad spectrum of associated biomedical entities, not paralleled by any other resource.
AB - Noncoding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long ncRNAs (lncRNAs), are important players in diseases and emerge as novel drug targets. Thus, unraveling the relationships between ncRNAs and other biomedical entities in cells are critical for better understanding ncRNA roles that may eventually help develop their use in medicine. To support ncRNA research and facilitate retrieval of relevant information regarding miRNAs and lncRNAs from the plethora of published ncRNA-related research, we developed DES-ncRNA (www.cbrc.kaust.edu.sa/des_ncrna). DES-ncRNA is a knowledgebase containing text- and data-mined information from public scientific literature and other public resources. Exploration of mined information is enabled through terms and pairs of terms from 19 topic-specific dictionaries including, for example, antibiotics, toxins, drugs, enzymes, mutations, pathways, human genes and proteins, drug indications and side effects, mutations, diseases, etc. DES-ncRNA contains approximately 878,000 associations of terms from these dictionaries of which 36,222 (5,373) are with regards to miRNAs (lncRNAs). We provide several ways to explore information regarding ncRNAs to users including controlled generation of association networks as well as hypotheses generation. We show an example how DES-ncRNA can aid research on Alzheimer disease and suggest potential therapeutic role for Fasudil. DES-ncRNA is a powerful tool that can be used on its own or as a complement to the existing resources, to support research in human ncRNA. To our knowledge, this is the only knowledgebase dedicated to human miRNAs and lncRNAs derived primarily through literature-mining enabling exploration of a broad spectrum of associated biomedical entities, not paralleled by any other resource.
KW - Alzheimer disease
KW - Noncoding RNA
KW - bioinformatics
KW - data-mining
KW - information integration
KW - knowledgebase
KW - literature-mining
KW - long noncoding RNA
KW - microRNA
KW - text-mining
UR - http://www.scopus.com/inward/record.url?scp=85019759452&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019759452&partnerID=8YFLogxK
U2 - 10.1080/15476286.2017.1312243
DO - 10.1080/15476286.2017.1312243
M3 - Article
C2 - 28387604
AN - SCOPUS:85019759452
SN - 1547-6286
VL - 14
SP - 963
EP - 971
JO - RNA Biology
JF - RNA Biology
IS - 7
ER -