Exploring the Molecular Terrain: A Survey of Analytical Methods for Biological Network Analysis

Author:

Nguyen Trong-The123ORCID,Dao Thi-Kien123ORCID,Pham Duc-Tinh45ORCID,Duong Thi-Hoan4

Affiliation:

1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350118, China

2. Multimedia Communications Lab., VNUHCM, University of Information Technology, Ho Chi Minh City 700000, Vietnam

3. Vietnam National University, Ho Chi Minh City 700000, Vietnam

4. Complex Systems and Bioinformatics Lab, Hanoi University of Industry, Hanoi 10000, Vietnam

5. Vietnam Academy of Science and Technology, Hanoi 10000, Vietnam

Abstract

Biological systems, characterized by their complex interplay of symmetry and asymmetry, operate through intricate networks of interacting molecules, weaving the elaborate tapestry of life. The exploration of these networks, aptly termed the “molecular terrain”, is pivotal for unlocking the mysteries of biological processes and spearheading the development of innovative therapeutic strategies. This review embarks on a comprehensive survey of the analytical methods employed in biological network analysis, focusing on elucidating the roles of symmetry and asymmetry within these networks. By highlighting their strengths, limitations, and potential applications, we delve into methods for network reconstruction, topological analysis with an emphasis on symmetry detection, and the examination of network dynamics, which together reveal the nuanced balance between stable, symmetrical configurations and the dynamic, asymmetrical shifts that underpin biological functionality. This review equips researchers with a multifaceted toolbox designed to navigate and decipher biological networks’ intricate, balanced landscape, thereby advancing our understanding and manipulation of complex biological systems. Through this detailed exploration, we aim to foster significant advancements in biological network analysis, paving the way for novel therapeutic interventions and a deeper comprehension of the molecular underpinnings of life.

Funder

Fujian Provincial Department of Science and Technology

Hanoi University of Industry

Publisher

MDPI AG

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