Exploring the Molecular Terrain: A Survey of Analytical Methods for Biological Network Analysis Article Swipe
Trong-The Nguyen
,
Thi-Kien Dao
,
Duc-Tinh Pham
,
Thi-Hoan Duong
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/sym16040462
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/sym16040462
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/sym16040462
- https://www.mdpi.com/2073-8994/16/4/462/pdf?version=1712748817
- OA Status
- gold
- Cited By
- 13
- References
- 104
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://doi.org/10.3390/sym16040462Digital Object Identifier
- Title
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Exploring the Molecular Terrain: A Survey of Analytical Methods for Biological Network AnalysisWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-10Full publication date if available
- Authors
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Trong-The Nguyen, Thi-Kien Dao, Duc-Tinh Pham, Thi-Hoan DuongList of authors in order
- Landing page
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https://doi.org/10.3390/sym16040462Publisher landing page
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https://www.mdpi.com/2073-8994/16/4/462/pdf?version=1712748817Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2073-8994/16/4/462/pdf?version=1712748817Direct OA link when available
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Toolbox, Biological network, Computer science, Biological organism, Data science, DECIPHER, Biological data, Complex network, Complex system, Artificial intelligence, Biological materials, Biochemical engineering, Computational biology, Biology, Engineering, Bioinformatics, Programming language, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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2025: 11, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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