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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Detalles Bibliográficos

Principais autores:	Gianmarc Grazioli, Rachel W. Martin, Carter T. Butts
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2019-06-01
Series:	Frontiers in Molecular Biosciences
Assuntos:	machine learning intrinsically disordered proteins molecular dynamics amyloid fibrils amyloid beta protein structure networks
Acceso en liña:	https://www.frontiersin.org/article/10.3389/fmolb.2019.00042/full
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