AI Article Synopsis

  • RAID v2.0 is an updated database that consolidates experimental and computational RNA-associated interactions, featuring a staggering increase of over 850-fold in entries compared to its previous version.
  • The new version includes extensive resources for each interaction, along with a reliability score to assess the confidence in the data provided.
  • RAID v2.0 covers RNA interactions from 60 species, featuring more than 5.27 million total interactions, including over 4 million RNA-RNA interactions and 1.2 million RNA-protein interactions.

Article Abstract

With the development of biotechnologies and computational prediction algorithms, the number of experimental and computational prediction RNA-associated interactions has grown rapidly in recent years. However, diverse RNA-associated interactions are scattered over a wide variety of resources and organisms, whereas a fully comprehensive view of diverse RNA-associated interactions is still not available for any species. Hence, we have updated the RAID database to version 2.0 (RAID v2.0, www.rna-society.org/raid/) by integrating experimental and computational prediction interactions from manually reading literature and other database resources under one common framework. The new developments in RAID v2.0 include (i) over 850-fold RNA-associated interactions, an enhancement compared to the previous version; (ii) numerous resources integrated with experimental or computational prediction evidence for each RNA-associated interaction; (iii) a reliability assessment for each RNA-associated interaction based on an integrative confidence score; and (iv) an increase of species coverage to 60. Consequently, RAID v2.0 recruits more than 5.27 million RNA-associated interactions, including more than 4 million RNA-RNA interactions and more than 1.2 million RNA-protein interactions, referring to nearly 130 000 RNA/protein symbols across 60 species.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210540PMC
http://dx.doi.org/10.1093/nar/gkw1052DOI Listing

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