| Autor: |
He X; School of Information Science and Engineering, University of Jinan, Jinan 250022, Shandong, China., Liu Y; School of Information Science and Engineering, University of Jinan, Jinan 250022, Shandong, China., Zeng X; School of Biological Science and Technology, University of Jinan, Jinan 250022, Shandong, China., Gao R; School of Biological Science and Technology, University of Jinan, Jinan 250022, Shandong, China., Tian Z; Joint Laboratory for Translational Medicine Research, Liaocheng City People's Hospital, Liaocheng 252000, Shandong, China., Fan X; School of Information Science and Engineering, University of Jinan, Jinan 250022, Shandong, China.; School of Biological Science and Technology, University of Jinan, Jinan 250022, Shandong, China. |
| Abstrakt: |
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. |
