Multi-S3P: Protein Secondary Structure Prediction With Specialized Multi-Network and Self-Attention-Based Deep Learning Model

Multi-S3P: Protein Secondary Structure Prediction With Specialized Multi-Network and Self-Attention-Based Deep Learning Model

Protein structure prediction (PSP) is a vital challenge in bioinformatics, structural biology and drug discovery. Protein secondary structure (SS) prediction is critical since three-dimensional (3D) structures are primarily made up of secondary structures. With the advancement of deep learning appro...

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Bibliographic Details
Main Authors: M. M. Mohamed Mufassirin, M. A. Hakim Newton, Julia Rahman, Abdul Sattar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural network
protein structure prediction
protein secondary structure
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/10143539/

Internet

https://ieeexplore.ieee.org/document/10143539/

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