Title :
Identification of crosstalk in Insulin pathway using Pathway Logic
Author :
Khan, Adnan Ahmed ; Ahmad, Jawad
Author_Institution :
Res. Center for Modeling & Simulation, NUST, Islamabad, Pakistan
Abstract :
Signaling Pathways regulate several processes in cells. Analysis of these signaling pathways is difficult because the number of proteins/chemicals involved in signal transduction is enormous. Moreover presence of crosstalk makes these pathways so complex that analysis without some computational framework is very difficult. Knocking out/mutation of crosstalk may affect the regulation of some particular pathways. Pathway Logic (PL) provides a platform where biologist can model and query the signaling pathway using formal methods. First the known interactions in Insulin pathway are modeled using PL and then several crosstalk are identified.
Keywords :
Petri nets; biology computing; proteins; Petri net; chemicals; crosstalk identification; crosstalk mutation; formal methods; insulin pathway; pathway logic; proteins; signal transduction; signaling pathways; Analytical models; Chemicals; Computational modeling; Crosstalk; Insulin; Mathematical model; Proteins; Pathway Logic; Petri net; crosstalk; insulin; maude;
Conference_Titel :
Emerging Technologies (ICET), 2013 IEEE 9th International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-3456-0
DOI :
10.1109/ICET.2013.6743529