scholarly journals The procedure of evolution modelling of biochemical networks structure

2013 ◽  
Vol 2 (2) ◽  
pp. 19-25 ◽  
Author(s):  
Tatjana Rubina
Keyword(s):  
Biochemical Networks ◽  
Networks Structure

scholarly journals Geography, Host Genetics, and Cross‐Domain Microbial Networks Structure the Skin Microbiota of Fragmented Brazilian Atlantic Forest Frog Populations

2021 ◽  
Author(s):  
Anat M. Belasen ◽  
Maria A. Riolo ◽  
Molly C. Bletz ◽  
Mariana L. Lyra ◽  
L. Felipe Toledo ◽  
...  
Keyword(s):  
Atlantic Forest ◽  
Brazilian Atlantic Forest ◽  
Skin Microbiota ◽  
Host Genetics ◽  
Cross Domain ◽  
Networks Structure

scholarly journals Scarcity of scale-free topology is universal across biochemical networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Harrison B. Smith ◽  
Hyunju Kim ◽  
Sara I. Walker
Keyword(s):  
Large Body ◽  
Biochemical Networks ◽  
Biological Organization ◽  
Scale Free ◽  
Levels Of Organization ◽  
Common Structure ◽  
Domains Of Life ◽  
Ecosystem Level ◽  
Different Levels ◽  
Organizing Principles

AbstractBiochemical reactions underlie the functioning of all life. Like many examples of biology or technology, the complex set of interactions among molecules within cells and ecosystems poses a challenge for quantification within simple mathematical objects. A large body of research has indicated many real-world biological and technological systems, including biochemistry, can be described by power-law relationships between the numbers of nodes and edges, often described as “scale-free”. Recently, new statistical analyses have revealed true scale-free networks are rare. We provide a first application of these methods to data sampled from across two distinct levels of biological organization: individuals and ecosystems. We analyze a large ensemble of biochemical networks including networks generated from data of 785 metagenomes and 1082 genomes (sampled from the three domains of life). The results confirm no more than a few biochemical networks are any more than super-weakly scale-free. Additionally, we test the distinguishability of individual and ecosystem-level biochemical networks and show there is no sharp transition in the structure of biochemical networks across these levels of organization moving from individuals to ecosystems. This result holds across different network projections. Our results indicate that while biochemical networks are not scale-free, they nonetheless exhibit common structure across different levels of organization, independent of the projection chosen, suggestive of shared organizing principles across all biochemical networks.

scholarly journals Optimal experiment design for model selection in biochemical networks

2014 ◽  
Vol 8 (1) ◽  
pp. 20 ◽  
Author(s):  
Joep Vanlier ◽  
Christian A Tiemann ◽  
Peter AJ Hilbers ◽  
Natal AW van Riel
Keyword(s):  
Model Selection ◽  
Experiment Design ◽  
Biochemical Networks ◽  
Optimal Experiment Design ◽  
Optimal Experiment

Kinetic asymmetry as a key source of functional diversity in biochemical networks

1999 ◽  
Vol 76 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Soumalee Basu ◽  
Chitra Dutta ◽  
Jyotirmoy Das
Keyword(s):  
Functional Diversity ◽  
Biochemical Networks

Inorganic-organic nanocomposite networks: Structure, curing reaction, properties, and hard coating performance

2021 ◽  
pp. 109112
Author(s):  
Kuan Hoon Ngoi ◽  
Jia Chyi Wong ◽  
Chin Hua Chia ◽  
Kyeong Sik Jin ◽  
Heesoo Kim ◽  
...  
Keyword(s):  
Hard Coating ◽  
Coating Performance ◽  
Curing Reaction ◽  
Networks Structure
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