Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulations

Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulations

Protein functions associated with biological activity are precisely regulated by both tertiary structure and dynamic behavior. Thus, elucidating the high-resolution structures and quantitative information on in-solution dynamics is essential for understanding the molecular mechanisms. The main exper...

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Bibliographic Details
Main Authors: Shigeyuki Matsumoto, Shoichi Ishida, Kei Terayama, Yasuhshi Okuno
Format: Article
Language:English
Published: The Biophysical Society of Japan 2023-06-01
Series:Biophysics and Physicobiology
Subjects:
machine learning
3d-cnn
single particle analysis
big data
allostery
Online Access:https://doi.org/10.2142/biophysico.bppb-v20.0022

Internet

https://doi.org/10.2142/biophysico.bppb-v20.0022

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