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Abstract
KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are the primary dataset in KEGG representing systemic functions of the cell and the organism in terms of molecular interaction and reaction networks. The KEGG Orthology (KO) system is a mechanism for linking genes and proteins to pathway maps and other molecular networks. Each KO is a generic gene identifier and each pathway map is created as a network of KO nodes. This architecture enables KEGG pathway mapping to uncover systemic features from KO assigned genomes and metagenomes. Additional roles of KOs include characterization of conserved genes and conserved units of genes in organism groups, which can be done by taxonomy mapping. A new tool has been developed for identifying conserved gene orders in chromosomes, in which gene orders are treated as sequences of KOs. Furthermore, a new dataset called VOG (virus ortholog group) is computationally generated from virus proteins and expanded to proteins of cellular organisms, allowing gene orders to be compared as VOG sequences as well. Together with these datasets and analysis tools, new types of pathway maps are being developed to present a global view of biological processes involving multiple organism groups.
Academic Publication KEGG: biological systems database as a model of the real world
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KEGG: biological systems database as a model of the real world
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What is the core focus of the research titled 'KEGG: biological systems database as a model of the real world'?
This literature focuses on: Abstract KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are the primary dataset in KEGG representing systemic functions of the cell and the organism in terms of...
Are there open-source GitHub repositories related to KEGG: biological systems database as a model of the real world?
Yes, open-source projects like BryanLunduke/DoesItAgeVerify (The age verification status of Open Source Operating Systems) are actively building upon these concepts.
Which startups are commercializing the technology behind KEGG: biological systems database as a model of the real world?
Products like HelixDB are bringing this to market. Their focus is: An open-source OLTP graph-vector database built in Rust..
What other academic literature is closely related to 'KEGG: biological systems database as a model of the real world'?
Yes, highly correlated activity was mapped. An entry titled 'KEGG: biological systems database as a model of the real world' discusses this: Abstract KEGG (https://www.kegg.jp/) is a database resource for representation and analysis of biological systems. Pathway maps are ...
Are there commercial applications of 'KEGG: biological systems database as a model of the real world' in market news publications?
Yes, highly correlated activity was mapped. An entry titled 'A multifaceted model of Entamoeba histolytica KERP2 regulating gene expression and host cell responses' discusses this: Here, the authors show that an Entamoeba histolytica protein, KERP2, binds parasite DNA to regulate virulence genes and then enters human gut cells...
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Commercial Realization
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GitHubBryanLunduke/DoesItAgeVerify
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GitHubVoltAgent/awesome-design-md
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Product HuntHelixDB
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Product HuntTypewise AI Customer Service