Generative Adversarial Learning of Protein Tertiary Structures

Generative Adversarial Learning of Protein Tertiary Structures

Protein molecules are inherently dynamic and modulate their interactions with different molecular partners by accessing different tertiary structures under physiological conditions. Elucidating such structures remains challenging. Current momentum in deep learning and the powerful performance of gen...

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Bibliographic Details
Main Authors:	Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Series:	Molecules
Subjects:	protein modeling tertiary structure generative adversarial learning deep learning
Online Access:	https://www.mdpi.com/1420-3049/26/5/1209

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