Deep learning for protein secondary structure prediction: Pre and post-AlphaFold
This paper aims to provide a comprehensive review of the trends and challenges of deep neural networks for protein secondary structure prediction (PSSP). In recent years, deep neural networks have become the primary method for protein secondary structure prediction. Previous studies showed that deep...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-01-01
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Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037022005062 |