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P System Models of Bistable, Enzyme Driven Chemical Reaction Networks.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Mira, José
Álvarez, José R.
Dunn, Stanley
Stivers, Peter
Source :
Bio-inspired Modeling of Cognitive Tasks; 2007, p203-213, 11p
Publication Year :
2007

Abstract

In certain classes of chemical reaction networks (CRN), there may be two stable states. The challenge is to find a model of the CRN such that the stability properties can be predicted. In this paper we consider the problem of building a P-system designed to simulate the CRN in an attempt to determine if the CRN is stable or bistable. We found that for the networks in [2] none of the bistable CRN would have a bistable P-system by stoichiometry alone. The reaction kinetics must be included in the P-system model; the implementation of which has been considered an open problem. In this paper we conclude that a P-system for a CRN in m reactants and n products has at most 2(m2 + mn) membranes and 6(m2 + mn) rules. This suggests that P-system models of a chemical reaction network, including both stoichiometry and reaction kinetics can be built. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540730521
Database :
Supplemental Index
Journal :
Bio-inspired Modeling of Cognitive Tasks
Publication Type :
Book
Accession number :
33214114
Full Text :
https://doi.org/10.1007/978-3-540-73053-8_20