The biochemical basis of microRNA targeting efficacy
| Autor: | Namita Bisaria, David P. Bartel, Gina M. Kelley, Sean E. McGeary, Kathy S. Lin, Charlie Y. Shi, Thy M. Pham |
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| Rok vydání: | 2019 |
| Předmět: |
Regulation of gene expression
0303 health sciences Messenger RNA Multidisciplinary Base Sequence Sequence Analysis RNA Sequence analysis RNA Computational biology Plasma protein binding Argonaute Biology Article MicroRNAs 03 medical and health sciences HEK293 Cells 0302 clinical medicine Gene Expression Regulation 030220 oncology & carcinogenesis Argonaute Proteins microRNA Humans Psychological repression Protein Binding 030304 developmental biology |
| Zdroj: | Science |
| ISSN: | 1095-9203 0036-8075 |
| Popis: | Biochemical prediction of miRNA targeting MicroRNAs (miRNAs) regulate most human messenger RNAs and play essential roles in diverse developmental and physiological processes. Correctly predicting the function of each miRNA requires a better understanding of miRNA targeting efficacy. McGeary et al. measured binding affinities between six miRNAs and synthetic targets, built a biochemical model of miRNA-mediated repression, and expanded it to all miRNAs using a convolutional neural network. This approach offers insights into miRNA targeting and enables more accurate prediction of intracellular miRNA repression efficacy than previous algorithms. Science , this issue p. eaav1741 |
| Databáze: | OpenAIRE |
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