Rapid prediction of protein natural frequencies using graph neural networks

Rapid prediction of protein natural frequencies using graph neural networks

<jats:p>We present a computational framework based on graph neural networks (GNNs) to predict the natural frequencies of proteins from primary amino acid sequences and contact/distance maps.</jats:p>

Bibliographic Details
Main Authors:	Guo, Kai, Buehler, Markus J
Other Authors:	Massachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanics
Format:	Article
Language:	English
Published:	Royal Society of Chemistry (RSC) 2022
Online Access:	https://hdl.handle.net/1721.1/146553

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