Protein secondary structure prediction based on Wasserstein generative adversarial networks and temporal convolutional networks with convolutional block attention modules

Protein secondary structure prediction based on Wasserstein generative adversarial networks and temporal convolutional networks with convolutional block attention modules

As an important task in bioinformatics, protein secondary structure prediction (PSSP) is not only beneficial to protein function research and tertiary structure prediction, but also to promote the design and development of new drugs. However, current PSSP methods cannot sufficiently extract effectiv...

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Bibliographic Details
Main Authors: Lu Yuan, Yuming Ma, Yihui Liu
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
protein secondary structure prediction
wasserstein generative adversarial network
convolutional block attention module
temporal convolutional network
feature extraction
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023102?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023102?viewType=HTML

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