Rule-based modeling of biochemical systems with BioNetGen

Methods in Molecular Biology

Volumn 500, Issue 1, 2009, Pages 113-167

  Faeder, James R ^a   Blinov, Michael L ^b   Hlavacek, William S ^b  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b NONE

Author keywords

Combinatorial complexity; Computational systems biology; Formal languages; Mathematical modeling; Metabolic networks; Ordinary differential equations; protein protein interactions; Signal transduction; Software; Stochastic simulation

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER PROGRAM; COMPUTER SIMULATION; HUMAN; METABOLISM; METHODOLOGY; SIGNAL TRANSDUCTION;

ANIMALS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; RECEPTOR, EPIDERMAL GROWTH FACTOR; SIGNAL TRANSDUCTION; SOFTWARE;

EID: 65649154507     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-59745-525-1_5     Document Type: Article

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