miRBind: A Deep Learning Method for miRNA Binding Classification

The binding of microRNAs (miRNAs) to their target sites is a complex process, mediated by the Argonaute (Ago) family of proteins. The prediction of miRNA:target site binding is an important first step for any miRNA target prediction algorithm. To date, the potential for miRNA:target site binding is...

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Bibliographic Details
Published in:	Genes Vol. 13; no. 12; p. 2323
Main Authors:	Klimentová, Eva, Hejret, Václav, Krčmář, Ján, Grešová, Katarína, Giassa, Ilektra-Chara, Alexiou, Panagiotis
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 09-12-2022 MDPI
Subjects:	Algorithms Argonaute Proteins - genetics Argonaute Proteins - metabolism Binding sites Binding sites (Biochemistry) Computational Biology - methods Datasets Deep Learning Experiments Free energy Gene expression Generalized linear models Internet Machine learning MicroRNA MicroRNAs - genetics MicroRNAs - metabolism miRNA Neural networks Predictions Proteins Research methodology Target recognition Czech Republic miRNA binding convolutional neural network CLASH miRNA:target prediction
Online Access:	Get full text
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