Deep learning for protein secondary structure prediction: Pre and post-AlphaFold

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...

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Bibliographic Details
Main Authors: Dewi Pramudi Ismi, Reza Pulungan, Afiahayati
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Protein
Protein secondary structure prediction
Deep neural networks
Machine learning
Prediction accuracy
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022005062

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