DeepFrag-k: a fragment-based deep learning approach for protein fold recognition

DeepFrag-k: a fragment-based deep learning approach for protein fold recognition

Abstract Background One of the most essential problems in structural bioinformatics is protein fold recognition. In this paper, we design a novel deep learning architecture, so-called DeepFrag-k, which identifies fold discriminative features at fragment level to improve the accuracy of protein fold...

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Bibliographic Details
Main Authors: Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Bioinformatics
Subjects:
Fold recognition
Protein fragments
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12859-020-3504-z

Internet

http://link.springer.com/article/10.1186/s12859-020-3504-z

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