Advances in bioinformatics-based protein function prediction

With the increasing of computer power and rapid expansion of biological data, the application of bioinformatics tools has become the mainstream approach to address biological problems. The accurate identification of protein function by bioinformatics tools is crucial for both biomedical research and...

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Bibliographic Details
Published inSheng wu gong cheng xue bao = Chinese journal of biotechnology Vol. 40; no. 7; p. 2087
Main Authors He, Xinyuan, Liu, Yang, Zeng, Xianghe, Gao, Rongfeng, Tian, Zhen, Fan, Xiangyu
Format Journal Article
LanguageChinese
Published China 25.07.2024
Subjects
Algorithms
Amino Acid Sequence
Computational Biology - methods
Drug Discovery
Protein Conformation
Protein Interaction Maps
Proteins - chemistry
Proteins - genetics
Proteins - metabolism
Sequence Analysis, Protein
deep learning
gene ontology
protein function prediction
bioinformatics
machine learning
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Summary:With the increasing of computer power and rapid expansion of biological data, the application of bioinformatics tools has become the mainstream approach to address biological problems. The accurate identification of protein function by bioinformatics tools is crucial for both biomedical research and drug discovery, making it a hot topic of research. In this paper, we categorize bioinformatics-based protein function prediction methods into three categories: protein sequence-based methods, protein structure-based methods, and protein interaction networks-based methods. We further analyze these specific algorithms, highlighting the latest research advancements and providing valuable references for the application of bioinformatics-based protein function prediction in biomedical research and drug discovery.
ISSN:1872-2075