AccScience Publishing / GPD / Volume 1 / Issue 2 / DOI: 10.36922/gpd.v1i2.101
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Network biology: Recent advances and challenges

Pei Wang1*
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1 School of Mathematics and Statistics, Henan University, Kaifeng, 475004, P.R. China
Submitted: 19 May 2022 | Accepted: 15 September 2022 | Published: 6 October 2022
© 2022 by the Author(s). Licensee AccScience Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Biological networks have garnered widespread attention. The development of biological networks has spawned the birth of a new interdisciplinary field – network biology. Network biology involves the exploration of complex biological systems through biological networks for better understanding of biological functions. This paper reviews some of the recent development of network biology. On the one hand, various approaches to constructing different types of biological networks are reviewed, and the pros and cons of each approach are discussed; on the other hand, the recent advances of information mining in biological networks are reviewed. The principles of guilt-by-association and guilt-by-rewiring in network biology and their applications are discussed. Although great advances have been achieved in the field of network biology over the past decades, there are still many challenging issues. First, efficient and reliable network inference algorithms for high-dimensional and highly noisy omics data are still in great demand. Second, the research focus will be on multilayer biological network theory. This plays a critical role in the exploration of the multi-scale or dynamical characteristics of complex biomolecular networks by integrating multi-source heterogeneous omics data. Third, a close cooperation among biologists, medical workers, and researchers from network science is still a prerequisite in the applications of network biology. The rapid development of network biology will undoubtedly raise important clues for understanding complex phenotypes in biological systems.

Keywords
Biological network
Network construction
Omics data
Informative gene identification
Multilayer network
Funding
National Natural Science Foundation of China
Natural Science Foundation of Henan Province
Program for Science and Technology Innovation Talents in Universities of Henan Province
Training Plan of Young Key Teachers in Colleges and Universities of Henan Province
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Conflict of interest
The author declares no conflict of interest.
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Gene & Protein in Disease, Electronic ISSN: 2811-003X Print ISSN: TBA, Published by AccScience Publishing