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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Bioinformatics
Hlavní autoři: Yan, Zichao, Hamilton, William L, Blanchette, Mathieu
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
Témata:
Macromolecular Sequence, Structure, and Function
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7355240/
https://ncbi.nlm.nih.gov/pubmed/32657407
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa456
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky