miRWalk 2.0 available

miRWalk-2-logomiRWalk2.0 (http://zmf.umm.uni-heidelberg.de/apps/zmf/mirwalk2/) which is a significantly improved and upgraded version of miRWalk database is now available for the scientific community.

miRWalk2.0 was developed with the aim of providing a regularly updated, freely accessible, comprehensive archive to supply the biggest available collection of predicted and experimentally verified miRNA-target interactions with various novel and unique features to greatly assist the scientific community. About 858,750,070 interactions between 11,748 miRNAs and 308,700 genes are documented in miRWalk2.0 with 5,077,757 different kinds of identifiers to offer a one-stop site to collect an abundance of information.

miRWalk2.0 not only documents miRNA binding sites within the complete sequence of a gene, but also combines this information with a comparison of binding sites resulting from 12 existing miRNA-target prediction programs (DIANA-microTv4.0DIANA-microT-CDSmiRanda-rel2010mirBridgemiRDB4.0miRmapmiRNAMap,doRiNA i.e.,PicTar2PITARNA22v2RNAhybrid2.1 and Targetscan6.2) to build novel comparative platforms of binding sites for the promoter (4 prediction datasets), cds (5 prediction datasets), 5’- (5 prediction datasets) and 3’-UTR (13 prediction datasets) regions. It also documents experimentally verified miRNA-target interaction information collected via an automated text-mining search and data from existing resources (miRTarBasePhenomiRmiR2Disease and HMDD) offer such information.

Novelties of miRWalk2.0 include:

  • Documents 13 different miRNA-target prediction databases
  • Offers novel comparative platforms of miRNA binding sites for the promoter, CDS, 5’-, and 3’-UTR, mitochondrial genomes and miRNAs
  • Supplies miRNA-target interactions on pathways, gene-, disease-, and human phenotype-ontologies and OMIM disorders
  • Presents a comparative overview of human homologous genes, their classes and biological signaling among 15 different species
  • Integrates enrichment analysis search methods
  • Hosts “customized datasets” functionality to download a customized list of putative targets
  • Provides genomic location search method for genes to determine which miRNAs share the same and/or nearby location
  • Offers experimentally verified miRNA-target interactions
  • Supplies external databases links to gather more information and annotation data


Please send all feedback, bugs, suggestions and questions either directly to Dr. Harsh Dweep at
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LinkedIn (https://www.linkedin.com/profile/view?id=227958073),
ResearchGate (http://www.researchgate.net/profile/Harsh_Dweep),
Google scholar (https://scholar.google.com/citations?user=yovwuA8AAAAJ&hl=en&oi=ao).

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