Boolean network approach to negative feedback loops of the p53 pathways: Synchronized dynamics and stochastic limit cycles

Journal of Computational Biology

Volumn 16, Issue 1, 2009, Pages 119-132

  Ge, Hao ^a   Qian, Min ^b  

^a FUDAN UNIVERSITY   (China)

^b PEKING UNIVERSITY   (China)

Author keywords

Boltzmann machine; Circulation; Hopfield network; p53 protein; Stochastic Boolean network; Stochastic limit cycles; Synchronization

Indexed keywords

PROTEIN P53;

AMINO ACID SEQUENCE; ARTICLE; INFORMATION SCIENCE; MATHEMATICAL MODEL; MATHEMATICS; METABOLISM; MOLECULAR DYNAMICS; NEGATIVE FEEDBACK; PRIORITY JOURNAL; PROBABILITY; SIGNAL TRANSDUCTION; STATISTICS; STOCHASTIC MODEL; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; FEEDBACK; GENE REGULATORY NETWORKS; MARKOV CHAINS; MATHEMATICS; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; SIGNAL TRANSDUCTION; TUMOR SUPPRESSOR PROTEIN P53;

EID: 58149231419     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2007.0181     Document Type: Article

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