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
Autores principales: Grazioli, Gianmarc, Martin, Rachel W., Butts, Carter T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581705/
https://www.ncbi.nlm.nih.gov/pubmed/31245383
http://dx.doi.org/10.3389/fmolb.2019.00042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581705/
https://www.ncbi.nlm.nih.gov/pubmed/31245383
http://dx.doi.org/10.3389/fmolb.2019.00042

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