Res-Dom: predicting protein domain boundary from sequence using deep residual network and Bi-LSTM.

ABSTRACT:

Motivation

Protein domains are the basic units of proteins that can fold, function and evolve independently. Protein domain boundary partition plays an important role in protein structure prediction, understanding their biological functions, annotating their evolutionary mechanisms and protein design. Although there are many methods that have been developed to predict domain boundaries from protein sequence over the past two decades, there is still much room for improvement.

Results

In this article, a novel domain boundary prediction tool called Res-Dom was developed, which is based on a deep residual network, bidirectional long short-term memory (Bi-LSTM) and transfer learning. We used deep residual neural networks to extract higher-order residue-related information. In add

SUBMITTER: Wang L 

PROVIDER: S-EPMC9710680 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature