Refined Contact Map Prediction of Peptides Based on GCN and ResNet

Refined Contact Map Prediction of Peptides Based on GCN and ResNet

Predicting peptide inter-residue contact maps plays an important role in computational biology, which determines the topology of the peptide structure. However, due to the limited number of known homologous structures, there is still much room for inter-residue contact map prediction. Current models...

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Bibliographic Details
Main Authors: Jiawei Gu, Tianhao Zhang, Chunguo Wu, Yanchun Liang, Xiaohu Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Genetics
Subjects:
peptide inter-residue contact map prediction
deep learning
graph convolutional network
residual convolutional neural network
multiple sequence alignment
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.859626/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.859626/full

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