Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.
Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.
复制标题
基于规则的建模:一种用于研究细胞信号系统中生物分子位点动态的计算方法。
DOI:
10.1002/wsbm.1245
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发表时间:
2014-01
影响因子:
7.9
通讯作者:
Hlavacek, William S.
中科院分区:
文献类型:
--
作者:
Chylek, Lily A.;Harris, Leonard A.;Tung, Chang-Shung;Faeder, James R.;Lopez, Carlos F.;Hlavacek, William S.
Rule-based modeling was developed to address the limitations of traditional approaches for modeling chemical kinetics in cell signaling systems. These systems consist of multiple interacting biomolecules (e.g., proteins), which themselves consist of multiple parts (e.g., domains, linear motifs, and sites of phosphorylation). Consequently, biomolecules that mediate information processing generally have the potential to interact in multiple ways, with the number of possible complexes and post-translational modification states tending to grow exponentially with the number of binary interactions considered. As a result, only large reaction networks capture all possible consequences of the molecular interactions that occur in a cell signaling system, which is problematic because traditional modeling approaches for chemical kinetics (e.g., ordinary differential equations) require explicit network specification. This problem is circumvented through representation of interactions in terms of local rules. With this approach, network specification is implicit and model specification is concise. Concise representation results in a coarse graining of chemical kinetics, which is introduced because all reactions implied by a rule inherit the rate law associated with that rule. Coarse graining can be appropriate if interactions are modular, and the coarseness of a model can be adjusted as needed. Rules can be specified using specialized model-specification languages, and recently developed tools designed for specification of rule-based models allow one to leverage powerful software engineering capabilities. A rule-based model comprises a set of rules, which can be processed by general-purpose simulation and analysis tools to achieve different objectives (e.g., to perform either a deterministic or stochastic simulation).
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影响因子:
5.8
作者:
Bornstein, Benjamin J.;Keating, Sarah M.;Hucka, Michael
通讯作者:
Hucka, Michael
影响因子:
48
作者:
Angermann, Bastian R.;Klauschen, Frederick;Meier-Schellersheim, Martin
通讯作者:
Meier-Schellersheim, Martin
影响因子:
9.9
作者:
Chen, William W.;Schoeberl, Birgit;Jasper, Paul J.;Niepel, Mario;Nielsen, Ulrik B.;Lauffenburger, Douglas A.;Sorger, Peter K.
通讯作者:
Sorger, Peter K.
DOI:
10.1007/978-1-61779-361-5_26
发表时间:
2012-01-01
期刊:
BACTERIAL MOLECULAR NETWORKS: METHODS AND PROTOCOLS
影响因子:
--
作者:
Andrews, Steven S.
通讯作者:
Andrews, Steven S.
影响因子:
2.3
作者:
Borisov NM;Chistopolsky AS;Faeder JR;Kholodenko BN
通讯作者:
Kholodenko BN