Jiayao Zhou

Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, China
Author    Correspondence author
Computational Molecular Biology, 2024, Vol. 14, No. 1   doi: 10.5376/cmb.2024.14.0004
Received: 19 Dec., 2023    Accepted: 10 Feb., 2024    Published: 23 Feb., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhou J.Y., 2024, Network biology reveals new strategies for understanding the relationship between protein function and disease, Computational Molecular Biology, 14(1): 28-35 (doi: 10.5376/cmb.2024.14.0004)

Network biology is capable of comprehensively analyzing the interaction networks among biomolecules, providing crucial theoretical support and practical guidance for revealing disease mechanisms, optimizing drug development, and promoting precision medicine. This review introduces the basic concepts of network biology and its importance in studying the relationship between protein function and disease, while pointing out the limitations of traditional biological methods in research. It further delves into how network biology integrates multi-omics data to reveal the relationship between protein function and disease, and explores its applications in identifying key disease proteins, predicting drug targets, and understanding the mechanisms of disease occurrence and development. Additionally, it discusses the practical applications of new strategies in network biology in disease diagnosis and treatment, including early diagnosis, prognostic assessment, personalized treatment, and drug development and optimization. This review summarizes the significant role of network biology in studying the relationship between protein function and disease and looks forward to future research directions. The research in this review not only helps deepen our understanding of the relationship between protein function and disease, but also provides new strategies and methods for disease diagnosis and treatment.

Network biology; Protein function; Disease relationship; Multi-omics data; Personalized treatment