SGnn: A Web Server for the Prediction of Prion-Like Domains Recruitment to Stress Granules Upon Heat Stress

SGnn: A Web Server for the Prediction of Prion-Like Domains Recruitment to Stress Granules Upon Heat Stress

Proteins bearing prion-like domains (PrLDs) are essential players in stress granules (SG) assembly. Analysis of data on heat stress-induced recruitment of yeast PrLDs to SG suggests that this propensity might be connected with three defined protein biophysical features: aggregation propensity, net c...

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Bibliographic Details
Main Authors: Valentín Iglesias, Jaime Santos, Juan Santos-Suárez, Carlos Pintado-Grima, Salvador Ventura
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Molecular Biosciences
Subjects:
stress granules
prion-like domains
protein aggregation
yeast prions
bioinformatics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.718301/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2021.718301/full

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