Previous studies suggested that FFAR2 but not FFAR3 was expressed on mature adipocytes

lts of the systems biology and biological circuits have been correlated and are in agreement. We have developed a Java based application of this strategy to create biological circuits based on regulatory system, assignment of Boolean logic input for all unit and sub unit, MedChemExpress Aphrodine Simulation and finally generation of valid output in form of analog. The main objective of this paper is to construct a GPR142 regulatory pathway using system biology and biological circuits approach. 1. 2. 3. 4. Methodology The methodology followed is depicted in the flow chart in Fig. 1 GPCRs data and information regarding concentration of all species was collected from databases like IUPHAR, KEGG and from other literature. A complete pathway of GPR142 was constructed using information involving different genes, truncating proteins, generic proteins, ions and other molecules which interact with GPR142 receptor against Type 2 diabetes within cell compartment. Green nodes in the pathway represent the entities of genes, truncating proteins, generic proteins, ions and other molecules; gray lines represent the connectivity of one node to another node and sub branches represent the attributes which are closely related to each other. The nucleus of the cell indicating the transcription process within cells or virtual pathway construction in whole system is represented as small rectangular part. GPR142 genes which are transformed into mRNA via transcription, move outside the nucleus and get attached to cell membrane and interact with other proteins and genes, thus, making up a biochemical pathway within cell which is involved in signal transduction. The whole pathway was constructed using Cell Designer software. In order to carry out kinetic simulation the input values were assigned in form of chemical concentration and either kinetic irreversible simple MichaelisMenten equation nV VmS S or mass action kinetics equaKm tion V KPiS was applied. The kinetic simulation was carried out with respect to transition time of all species and those kinetic simulation responses in which genes and proteins interact with each other were identified using systems biology approach. Interaction of GPR142 protein with GPR139, GPR39, GPR78 were identified using GEPASI approach. Kinetic simulation graph is described below in. The simulation graph between amount of species and time is represented in different colors. X axis represents the time of the species which is species transition time with respect to amount of species, whereas Y axis represents the amount of the species which is concentration rate with respect to time of the species. 123 Boolean network model for GPR142 47 Construction of pathway using Systems biology Assignment of input value Simulation Construction of circuit using Biological circuits Assignment of input value Simulation If value are 1 : system is Active If value are 0 : system is Inactive Based on Boolean value picks are generated Analysis of biological circuits Fig. 1 Flow diagram of pathway construction using both system and biological circuits approach 5. 6. 7. 8. BioLogic circuit of whole system was constructed showing the interactions of GPR142 receptor within cell with other proteins/genes, using Logisim. The input values were assigned in form of Boolean, the basic PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/19800191 input and output tables are described in. The BioLogic circuit simulation with respect to transition time of all species and concentration was carried out as shown in. GPR142 circuit simulation with respe