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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Główni autorzy:	Gianmarc Grazioli, Rachel W. Martin, Carter T. Butts
Format:	Artigo
Język:	Inglês
Wydane:	Frontiers Media S.A. 2019-06-01
Seria:	Frontiers in Molecular Biosciences
Hasła przedmiotowe:	machine learning intrinsically disordered proteins molecular dynamics amyloid fibrils amyloid beta protein structure networks
Dostęp online:	https://www.frontiersin.org/article/10.3389/fmolb.2019.00042/full
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