Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings

Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings

Protein Secondary Structure Prediction (PSSP) is regarded as a challenging task in bioinformatics, and numerous approaches to achieve a more accurate prediction have been proposed. Accurate PSSP can be instrumental in inferring protein tertiary structure and their functions. Machine Learning and in...

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Bibliographic Details
Main Authors: Sotiris Chatzimiltis, Michalis Agathocleous, Vasilis J. Promponas, Chris Christodoulou
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Convolutional neural networks
Deep learning
Embeddings
Hessian free optimisation
Protein secondary structure prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024004446
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http://www.sciencedirect.com/science/article/pii/S2001037024004446

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