D 2012

On Approximative Reachability Analysis of Biochemical Dynamical Systems

BRIM, Luboš, Jana FABRIKOVÁ, Sven DRAŽAN and David ŠAFRÁNEK

Basic information

Original name

On Approximative Reachability Analysis of Biochemical Dynamical Systems

Authors

BRIM, Luboš (203 Czech Republic, belonging to the institution), Jana FABRIKOVÁ (203 Czech Republic, belonging to the institution), Sven DRAŽAN (203 Czech Republic, belonging to the institution) and David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Heidelberg, Transactions on Computational Systems Biology XIV, p. 77-101, 25 pp. 2012

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/12:00057894

Organization unit

Faculty of Informatics

ISBN

978-3-642-35523-3

ISSN

Keywords in English

biochemical dynamical systems; reachability analysis; discrete approximation

Tags

International impact, Reviewed
Změněno: 22/4/2013 23:47, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

This is an extended version of the workshop paper, in which a new computational technique called quantitative discrete approximation has been introduced. The technique provides finite discrete approximation of continuous dynamical systems which is suitable especially for a significant class of biochemical dynamical systems. With decreasing granularity the approximation of behaviour between a discrete state and its successor converges to the behaviour of the original continuous system in the respective part of the phase space. This paper provides a detailed description of the method and algorithms solving the reachability problem in biochemical dynamical systems. The method is supplemented with heuristics for reducing the cardinality of the reachable state space. The algorithms are evaluated on six models (with numbers of variables ranging from 2 to 12).

Links

GAP202/11/0312, research and development project
Name: Vývoj a verifikace softwarových komponent v zapouzdřených systémech (Acronym: Components in Embedded Systems)
Investor: Czech Science Foundation
MUNI/A/0914/2009, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A