The biochemical basis of microRNA targeting efficacy

Author:

McGeary Sean E.123ORCID,Lin Kathy S.1234ORCID,Shi Charlie Y.123ORCID,Pham Thy M.123,Bisaria Namita123,Kelley Gina M.123ORCID,Bartel David P.1234ORCID

Affiliation:

1. Howard Hughes Medical Institute, Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.

2. Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.

3. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

4. Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Abstract

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

Funder

National Institutes of Health

Howard Hughes Medical Institute

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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