A hybrid variational autoencoder and WGAN with gradient penalty for tertiary protein structure generation

Abstract Elucidating the tertiary structure of proteins is important for understanding their functions and interactions. While deep neural networks have advanced the prediction of a protein’s native structure from its amino acid sequence, the focus on a single-structure view limits understanding of...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Aalaa I. Sehsah, Afaf Mousa, Gamal Farouk
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Subjects:
Tertiary protein structure
Residual blocks
VAE
WGAN-GP
Online Access:https://doi.org/10.1038/s41598-025-94747-y

Internet

https://doi.org/10.1038/s41598-025-94747-y

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