The aim of developing this database (CMPP) was to create a central library of regulatory sequences/motif of genes controlling Central Metabolic Pathway (CMP) such as glycolysis/ Krebs/PPP.  The database comprises of theoretical information related to genes coding for enzymes involved in CMP. Using the Transcription Factor (TF) search tool the different motif/site involved in TF binding were extracted. The various TF binding site for each of the ten different TF's are incorporated in this database. The table below gives the function of each motif included in this database. The information in the database can be retrieved by browsing through the name/type of motif/organism/enzyme or gene name. The information in this database will be used for deriving a distance measure for upstream/regulatory region of CMPP.

KREBS CYCLE

Metabolic pathways are a central paradigm in biology. Historically, they have been defined on the basis of their step-by-step discovery. The recent information coming up with the discovery of gene sequences and genome annotation demand new network-based definitions of pathways to facilitate analysis of their capabilities and functions, such as metabolic versatility and robustness, and optimal growth rates.

This demand has led to the development of a new mathematically based analysis of complex, metabolic networks that enumerates all their unique pathways that take into account all requirements for cofactors and byproducts. The high-throughput experimental technologies that have rapidly developed within genomic science allow us to obtain comprehensive data about the molecular make-up of cells, thus enabling us to reconstruct large-scale (even genome-scale) reaction networks .On the other hand, sequencing gives information about the TF sites lying upstream of a gene or the regulatory sites. These TF binding sites are important because they are responsible for the regulation or expression of individual gene involved in CMP and these reaction networks incorporate diverse datasets including genome annotations, biochemical characterizations and cell physiology experiments. These systemic functions arise from the interaction of a multitude of metabolites and enzymes, and are not readily described or understood by a piece-wise characterization of the individual components.

With the cataloging of multiple reactions, shared metabolites have been grouped and traditional pathways have been described .These traditional pathways include glycolysis, the pentose phosphate pathway and the tricarboxylic acid (TCA) cycle. These genes, including the regulatory sequence involved in these pathways provide an important means of effective communication regarding metabolism of various organism.