共 143 条
Modeling for (physical) biologists: an introduction to the rule-based approach
被引:34
作者:

Chylek, Lily A.
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机构:
Cornell Univ, Dept Chem & Chem Biol, Ithaca, NY 14853 USA
Los Alamos Natl Lab, Div Theoret, Theoret Biol & Biophys Grp, Los Alamos, NM 87545 USA
Los Alamos Natl Lab, Ctr Nonlinear Studies, Los Alamos, NM 87545 USA Cornell Univ, Dept Chem & Chem Biol, Ithaca, NY 14853 USA

Harris, Leonard A.
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机构:
Vanderbilt Univ, Sch Med, Dept Canc Biol, Nashville, TN 37212 USA Cornell Univ, Dept Chem & Chem Biol, Ithaca, NY 14853 USA

Faeder, James R.
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机构:
Univ Pittsburgh, Sch Med, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USA Cornell Univ, Dept Chem & Chem Biol, Ithaca, NY 14853 USA

Hlavacek, William S.
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h-index: 0
机构:
Los Alamos Natl Lab, Div Theoret, Theoret Biol & Biophys Grp, Los Alamos, NM 87545 USA
Los Alamos Natl Lab, Ctr Nonlinear Studies, Los Alamos, NM 87545 USA
New Mexico Consortium, Los Alamos, NM 87544 USA Cornell Univ, Dept Chem & Chem Biol, Ithaca, NY 14853 USA
机构:
[1] Cornell Univ, Dept Chem & Chem Biol, Ithaca, NY 14853 USA
[2] Los Alamos Natl Lab, Div Theoret, Theoret Biol & Biophys Grp, Los Alamos, NM 87545 USA
[3] Los Alamos Natl Lab, Ctr Nonlinear Studies, Los Alamos, NM 87545 USA
[4] Vanderbilt Univ, Sch Med, Dept Canc Biol, Nashville, TN 37212 USA
[5] Univ Pittsburgh, Sch Med, Dept Computat & Syst Biol, Pittsburgh, PA 15260 USA
[6] New Mexico Consortium, Los Alamos, NM 87544 USA
基金:
美国国家科学基金会;
美国国家卫生研究院;
关键词:
rule-based modeling;
systems biology;
cell signaling;
BIOMOLECULAR SITE DYNAMICS;
GROWTH-FACTOR RECEPTOR;
FC-EPSILON-RI;
CELL-SURFACE;
STOCHASTIC SIMULATION;
SIGNALING PATHWAYS;
REACTION NETWORKS;
DETAILED BALANCE;
VISUAL INTERFACE;
EARLY EVENTS;
D O I:
10.1088/1478-3975/12/4/045007
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
Models that capture the chemical kinetics of cellular regulatory networks can be specified in terms of rules for biomolecular interactions. A rule defines a generalized reaction, meaning a reaction that permits multiple reactants, each capable of participating in a characteristic transformation and each possessing certain, specified properties, which may be local, such as the state of a particular site or domain of a protein. In other words, a rule defines a transformation and the properties that reactants must possess to participate in the transformation. A rule also provides a rate law. A rule-based approach to modeling enables consideration of mechanistic details at the level of functional sites of biomolecules and provides a facile and visual means for constructing computational models, which can be analyzed to study how system-level behaviors emerge from component interactions.
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