Multi-head attention-based U-Nets for predicting protein domain boundaries using 1D sequence features and 2D distance maps

Multi-head attention-based U-Nets for predicting protein domain boundaries using 1D sequence features and 2D distance maps

Abstract The information about the domain architecture of proteins is useful for studying protein structure and function. However, accurate prediction of protein domain boundaries (i.e., sequence regions separating two domains) from sequence remains a significant challenge. In this work, we develop...

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Bibliographic Details
Main Authors: Sajid Mahmud, Zhiye Guo, Farhan Quadir, Jian Liu, Jianlin Cheng
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Bioinformatics
Subjects:
Protein sequence
Protein domain boundary
Attention
Protein distance map
Deep learning
Online Access:https://doi.org/10.1186/s12859-022-04829-1

Internet

https://doi.org/10.1186/s12859-022-04829-1

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