SetupX becomes open source
Metabolomics and Metabolic Networks
Up one levelMetabolomics, study of dynamic behavior of metabolites under particular physiological condition of a organism by existing analytical techniques and computational tools. Metabolite are not work alone they are output of incoming signals at the various level cellular organization. They execute definite function under the control of gene and protein network. So to fully interpret the metaobolomics data we need to integrate it with existing large scale networks and pathway databases.
For example by integrating interested candidate behavior with existing Pr-Pr(Protein-Protein Interaction) datasets, we can found out the partners of various proteins which might interact with the enzyme acting on our candidates. We can expand the network to figure out that is there is any central regulator are existing or not which can process the signal in a glass hours pattern.
Advancement of computational tools are greatly facilitate the automated analysis of interested candidates. There are plenty of public and commercial tools and datasets are available to interpret networks. with initial good experimental data we can expand our dimension to many level in a reverse engineering mode.
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Tools for metabolic Networks Construction and Analysis
- Nobody Alone, Networks everywhere. A brief description of the existing networks and tools
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Topological Features of Metabolic Networks
- Graph theory and network theory has extensively applied on the biochemical networks. MAny mathematical properties from the graph theory can be calculate for any biochemical network. Sometime these properties provide some good view to simplify the biological complexity.
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How to Querry Metabolites against Various Databases
- Various database stored many information about the compounds studying in metabolomics experiments. Batch mode query is a desired way to get these information.
