miRWalk - Database: Prediction of possible miRNA binding sites by "walking" the genes of three genomes

By Harsh Dweep, C. Sticht, P. Pandey, N. Gretz. Journal of Biomedical Informatics, 2011

1,733 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f08ef16b18d5201cfe75300b398f66065b157b48

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Citations in the corpus

MicroRNAs and complex diseases: from experimental results to computational models (2019, neutral): “de/apps/zmf/mirwalk2/) [180, 181] The latest release of this database is miRWalk2.”
PDL1 Regulation by p53 via miR-34 (2015, background): “This hypothesis was further corroborated by the observation that the 3’ untranslated region (UTR) of the PDL1 mRNA carries a putative miR-34 binding site at position 932–938 (32,33).”
WikiPathways: capturing the full diversity of pathway knowledge (2015, neutral): “0 (15)), and drug-discovery data (Open PHACTS (16)).”
miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions (2013, background): “miRWalk (27) presents predicted and validated information on miRNA-target interactions and enables researches to validate new targets of miRNA not only on 30 untranslated regions but also on other regions of all known genes.”
Transgenerational epigenetic programming via sperm microRNA recapitulates effects of paternal stress (2015, background): “Criteria for selection of candidate genes for analysis in individual zygotes were as follows: present in late-stageMII mouse oocytes, in single-cell mouse zygotes, and/or homologously in human and mouse mature oocytes(4) (two or more of three lists) (30, 31) and predicted target of one or more of ni”
The multiMiR R package and database: integration of microRNA–target interactions along with their disease and drug associations (2014, background): “For example, miRWalk (20) and miRSystem (21) integrate predictions from nine and seven software programs, respectively.”
Identifying miRNAs, targets and functions (2012, background): “Several miRNA-target databases, such as TargetScan [36], PicTar [35], TarBase [74], miRecords [75] and miRWalk [76], store computationally predicted miRNA targets as well as few biologically validated ones.”
A survey of best practices for RNA-seq data analysis (2016, methodology): “Associations might be found in databases such as mir-Walk [151] and miRBase [152] that offer target prediction according to various algorithms.”