Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions

MOTIVATION: RNA-protein interactions are key effectors of post-transcriptional regulation. Significant experimental and bioinformatics efforts have been expended on characterizing protein binding mechanisms on the molecular level, and on highlighting the sequence and structural traits of RNA that im...

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Detalles Bibliográficos
Autores principales: Yan, Zichao, Hamilton, William L, Blanchette, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Macromolecular Sequence, Structure, and Function
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355240/
https://www.ncbi.nlm.nih.gov/pubmed/32657407
http://dx.doi.org/10.1093/bioinformatics/btaa456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355240/
https://www.ncbi.nlm.nih.gov/pubmed/32657407
http://dx.doi.org/10.1093/bioinformatics/btaa456

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