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

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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Bibliographic Details
Main Authors: Gianmarc Grazioli, Rachel W. Martin, Carter T. Butts
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
machine learning
intrinsically disordered proteins
molecular dynamics
amyloid fibrils
amyloid beta
protein structure networks
Online Access:https://www.frontiersin.org/article/10.3389/fmolb.2019.00042/full

Internet

https://www.frontiersin.org/article/10.3389/fmolb.2019.00042/full

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