miRWalk is an improved version of the previous database (i.e. miRWalk). The new version of miRWalk stores predicted data obtained with a machine learning algorithm including experimentally verified miRNA-target interactions. The focus lies on accuracy, simplicity, user-friendly design and mostly up to date informations. More information can be obtained under Frequently Asked Questions.
miRNAs: miRNA names (e.g. hsa-miR-214-3p) or Accession numbers (e.g. MIMAT0000271) based on current miRBase. While searching single miRNAs, also short names or family miRNA(e.g. let-7) belongs to several miRNAs are also acceptible. A list of miRNAs will be shown. mRNAs: Official Genesymbols (e.g. GAS2), EntrezIDs (e.g. 10608), Ensembl-IDs (e.g. ENSG00000148935 or ENST00000454584) and RefseqIDs (e.g. NM_001143830) were accepted.
The Target Mining page provides an advanced search option for several miRNAs or gene targets. You may provide your own miRNA or gene list. Alternatively, you may choose the pre-compiled pathway gene list from the page [not implemented yet]. When searching for miRNA gene targets, full mature miRNA names are required. For the search of miRNA regulators, you may provide either NCBI gene IDs or official gene symbols.
miRWalk version 3 is still in development. The Core of the data (gene target interaction) are final and can be used. For bug reports, comments or suggestions, please email to mirwalkteam (mirwalkteam [at] medma.uni-heidelberg.de). This would help us to build a database for the science community. Data from previous version (e.g. miRWalk 2) is still available for download. Please contact the miRWalk team.