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Comparative Exploratory Analysis of Intrinsically Disordered Protein Dynamics Using Machine Learning and Network Analytic Methods

Simulations of intrinsically disordered proteins (IDPs) pose numerous challenges to comparative analysis, prominently including highly dynamic conformational states and a lack of well-defined secondary structure. Machine learning (ML) algorithms are especially effective at discriminating among high-...

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Principais autores: Gianmarc Grazioli, Rachel W. Martin, Carter T. Butts
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2019-06-01
Serier:Frontiers in Molecular Biosciences
Fag:
machine learning
intrinsically disordered proteins
molecular dynamics
amyloid fibrils
amyloid beta
protein structure networks
Online adgang:https://www.frontiersin.org/article/10.3389/fmolb.2019.00042/full
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