Literature DB >> 11262964

Representation and simulation of biochemical processes using the pi-calculus process algebra.

A Regev1, W Silverman, E Shapiro.   

Abstract

Despite the rapidly accumulating body of knowledge about protein networks, there is currently no convenient way of sharing and manipulation of such information. We suggest that a formal computer language for describing the biomolecular processes underlying protein networks is essential for rapid advancement in this field. We propose to model biomolecular processes by using the pi-Calculus, a process algebra, originally developed for describing computer processes. Our model for biochemical processes is mathematically well-defined, while remaining biologically faithful and transparent. It is amenable to computer simulation, analysis and formal verification. We have developed a computer simulation system, the PiFCP, for execution and analysis of pi-calculus programs. The system allows us to trace, debug and monitor the behavior of biochemical networks under various manipulations. We present a pi-calculus model for the RTK-MAPK signal transduction pathway, formally represent detailed molecular and biochemical information, and study it by various PiFCP simulations.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11262964     DOI: 10.1142/9789814447362_0045

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  31 in total

1.  Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis.

Authors:  M Bentele; I Lavrik; M Ulrich; S Stösser; D W Heermann; H Kalthoff; P H Krammer; R Eils
Journal:  J Cell Biol       Date:  2004-09-13       Impact factor: 10.539

Review 2.  Systems immunology: a survey of modeling formalisms, applications and simulation tools.

Authors:  Vipin Narang; James Decraene; Shek-Yoon Wong; Bindu S Aiswarya; Andrew R Wasem; Shiang Rong Leong; Alexandre Gouaillard
Journal:  Immunol Res       Date:  2012-09       Impact factor: 2.829

Review 3.  A rigorous approach to investigating common assumptions about disease transmission: Process algebra as an emerging modelling methodology for epidemiology.

Authors:  Chris McCaig; Mike Begon; Rachel Norman; Carron Shankland
Journal:  Theory Biosci       Date:  2010-08-31       Impact factor: 1.919

Review 4.  The executable pathway to biological networks.

Authors:  Jasmin Fisher; Nir Piterman
Journal:  Brief Funct Genomics       Date:  2010-01       Impact factor: 4.241

5.  Rule-based modelling and simulation of biochemical systems with molecular finite automata.

Authors:  J Yang; X Meng; W S Hlavacek
Journal:  IET Syst Biol       Date:  2010-11       Impact factor: 1.615

Review 6.  Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway.

Authors:  Richard J Orton; Oliver E Sturm; Vladislav Vyshemirsky; Muffy Calder; David R Gilbert; Walter Kolch
Journal:  Biochem J       Date:  2005-12-01       Impact factor: 3.857

7.  Towards programming languages for genetic engineering of living cells.

Authors:  Michael Pedersen; Andrew Phillips
Journal:  J R Soc Interface       Date:  2009-04-15       Impact factor: 4.118

8.  Computational reasoning across multiple models.

Authors:  Guy Tsafnat; Enrico W Coiera
Journal:  J Am Med Inform Assoc       Date:  2009-08-28       Impact factor: 4.497

Review 9.  Modeling for (physical) biologists: an introduction to the rule-based approach.

Authors:  Lily A Chylek; Leonard A Harris; James R Faeder; William S Hlavacek
Journal:  Phys Biol       Date:  2015-07-16       Impact factor: 2.583

Review 10.  Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.

Authors:  Lily A Chylek; Leonard A Harris; Chang-Shung Tung; James R Faeder; Carlos F Lopez; William S Hlavacek
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-09-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.