Statistical learning of protein elastic network from positional covariance matrix

Statistical learning of protein elastic network from positional covariance matrix

Positional fluctuation and covariance during protein dynamics are key observables for understanding the molecular origin of biological functions. A frequently employed potential energy function for describing protein structural variation at the coarse-gained level is elastic network model (ENM). A l...

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Bibliographic Details
Main Authors: Chieh Cheng Yu, Nixon Raj, Jhih-Wei Chu
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Statistical learning
Elastic network model
Positional covariance matrix
All-atom molecular dynamics simulation
Homologous structure
Serine protease
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023001320

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http://www.sciencedirect.com/science/article/pii/S2001037023001320

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