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Volumn , Issue , 2008, Pages 385-392

Converting macromolecular regulatory models from deterministic to stochastic formulation

Author keywords

Cell cycle; Computational biology; Pathway models; Systems biology markup language (SBML)

Indexed keywords

CELL CYCLE; COMPUTATIONAL BIOLOGY; DETERMINISTIC MODELS; HIGH PERFORMANCE COMPUTING; MODELING ENVIRONMENTS; PATHWAY MODELS; REGULATORY MODEL; STOCHASTIC FORMULATION; STOCHASTIC SIMULATIONS; SYSTEMS BIOLOGY MARKUP LANGUAGE (SBML); VIRGINIA TECH;

EID: 70249121430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1400549.1400608     Document Type: Conference Paper
Times cited : (6)

References (13)
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  • 4
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    • Jan
    • F. R. Cross, V. Archambault, M. Miller, and M. Klovs-tad. Testing a mathematical model of the yeast cell cycle. Mol. Biol. Cell, 13(1):52-70, Jan. 2002.
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    • Cross, F.R.1    Archambault, V.2    Miller, M.3    Klovs-tad, M.4
  • 6
    • 33645429016 scopus 로고
    • Exact stochastic simulation of coupled chemical reactions
    • D. Gillespie. Exact stochastic simulation of coupled chemical reactions. J. Phys. Chem., 81:2340, 1977.
    • (1977) J. Phys. Chem , vol.81 , pp. 2340
    • Gillespie, D.1
  • 7
    • 0035933994 scopus 로고    scopus 로고
    • Approximate accelerated stochastic simulation of chemically reacting systems
    • D. Gillespie. Approximate accelerated stochastic simulation of chemically reacting systems. J. Chem. Phys., 115:1716, 2001.
    • (2001) J. Chem. Phys , vol.115 , pp. 1716
    • Gillespie, D.1
  • 8
    • 0037342537 scopus 로고    scopus 로고
    • M. Hucka, A. Finney, H. Sauro, and 40 additional authors. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinfo., 19(4):524-531, 2003.
    • M. Hucka, A. Finney, H. Sauro, and 40 additional authors. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinfo., 19(4):524-531, 2003.
  • 10
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    • Algorithms and software for stochastic simulation of biochemical reacting systems
    • H. Li, Y. Cao, L. Petzold, and D. Gillespie. Algorithms and software for stochastic simulation of biochemical reacting systems. Biotechnology Progress, 2007.
    • (2007) Biotechnology Progress
    • Li, H.1    Cao, Y.2    Petzold, L.3    Gillespie, D.4
  • 11
    • 0032485809 scopus 로고    scopus 로고
    • Modeling m-phase control in xenopus oocyte extracts: The surveillance mechanism for unreplicated dna
    • G. Marlovits, C. Tyson, B. Novak, and J. Tyson. Modeling m-phase control in xenopus oocyte extracts: the surveillance mechanism for unreplicated dna. Biophys. Chem., 72:169-184, 1998.
    • (1998) Biophys. Chem , vol.72 , pp. 169-184
    • Marlovits, G.1    Tyson, C.2    Novak, B.3    Tyson, J.4
  • 12
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    • Algorithm 806: Sprng: A scalable library for pseudorandom number generation
    • M. Mascagni and A. Srinivasan. Algorithm 806: Sprng: A scalable library for pseudorandom number generation. ACM Trans. Math. Soft., 26:436-461, 2000.
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    • Mascagni, M.1    Srinivasan, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.