Work

Protein domain identification methods and online resources

Year: 2021

Type: article

Abstract: Protein domains are the basic units of proteins that can fold, function, and evolve independently. Knowledge of protein domains is critical for protein classification, understanding their biological functions, annotating their evolutionary mechanisms and protein design. Thus, over the past two decades, a number of protein domain identification approaches have been developed, and a variety of protein domain databases have also been constructed. This review divides protein domain prediction methods into two categories, namely sequence-based and structure-based. These methods are introduced in detail, and their advantages and limitations are compared. Furthermore, this review also provides a comprehensive overview of popular online protein domain sequence and structure databases. Finally, we discuss potential improvements of these prediction methods.

Source: Computational and Structural Biotechnology Journal

DOI: 10.1016/j.csbj.2021.01.041

Authors: Yan Wang, Hang Zhang, Haolin Zhong, Zhidong Xue

Institutions: Binzhou Medical University, Huazhong University of Science and Technology

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $2,550

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities