Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3093293.3093294acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbbtConference Proceedingsconference-collections
research-article

Accelerating Algorithm for Biochemical Reaction Systems with Multiple Delays

Published: 14 May 2017 Publication History

Abstract

Delay in the study of biochemical reaction system can't be ignored and the complex time delay systems are integrated to get the multiple time delayed biochemical reactions. An improved acceleration algorithm based on MD-Leaping algorithm for multi-delayed biochemical reaction systems is proposed in this paper. The number of the waiting records generated during the operation of the MD-Leaping algorithm slows down its rate. We use a novel method that can reduce the size of the wait queue to add the wait records. The new algorithm greatly reduces the memory requirements without losing accuracy and runs faster. At last, this paper makes a numerical simulation analysis of a multiple time delayed model, and this case further demonstrates the accuracy and efficiency of the proposed algorithm.

References

[1]
Gillespie, D. T. 1976. A general method for numerically simulating the stochastic time evolution of coupled chemical reactions. J. Comp. Phys. 22(4): 403--434.
[2]
Lewin, B. 2000. Genes VII. USA: Oxford University Press.
[3]
Barrio, M., Burrage, K., Leier, A. and Tian, A. T. 2006. Oscillatory regulation of hes1: discrete stochastic delay modelling and simulation. Plos. Comp. Biol. 2(9):e117.
[4]
Bratsun, D., Volfson, D., Tsimring, L.S. and Hasty, J. 2005. Delay-induced stochastic oscillations in gene regulation. Proc. Natl. Acad. Sci. USA. 102(41): 14593--14598.
[5]
Cai, X. D. 2007. Exact stochastic simulation of coupled chemical reactions with delays. J. Comp. Phys. 126(12): 124108.
[6]
Tian, T. H. and Burrage, K. 2004. Binomial leap methods for simulating stochastic chemical kinetics. J. Comp. Phys. 121(21): 10356.
[7]
Peng, X., Zhou, W. and Wang, Y. F. 2007. Efficient binomial leap method for simulating chemical kinetics. J. Comp. Phys. 126(22): 224109.
[8]
Leier, A., Marque-Lago, T. T. and Burrage, K. 2008. Generalized binomial tau-leap method for biochemical kinetics incorporating both delay and intrinsic noise. J. Comp. Phys. 128(20): 4861.
[9]
Bayati, B., Chatelain, P. and Koumoutsakos, P. 2009. D-leaping: Accelerating stochastic simulation algorithms for reactions with delays. J. Comp. Phys. 228(16): 5908--5916.
[10]
Yi, N., Zhuang, G., Da, L. and Wang, Y. F. 2012. Improved delay-leaping simulation algorithm for biochemical reaction systems with delays. J. Comp. Phys. 136(14): 144108.
[11]
Zhu, R., Ribeirob, A. S., Salahub, D. and Kauffman, S. A. 2007. Studying genetic regulatory networks at the molecular level: Delayed reaction stochastic models. J. Theor. Biol. 246(4):725--745.
[12]
Thanh, V. H., Priami, C. and Zunio, R. 2014. Efficient rejection-based simulation of biochemical reactions with stochastic noise and delays. J. Comp. Phys. 141(13):134116.
[13]
Thanh, V. H. and Priami, C. 2015. Simulation of biochemical reactions with time-dependent rates by the rejection-based algorithm. J. Comp. Phys. 143(5):054104.
[14]
Roussel, M. R. and Zhu, R. 2006. Validation of an algorithm for delay stochastic simulation of transcription and translation in prokaryotic gene expression. Phys. Biol. 3(4): 274--284.
[15]
Ribeiro, A. S. 2010. Stochastic and delayed stochastic models of gene expression and regulation. Math. Bios. 221(1):1--11.
[16]
Zhuang, G., Yi, N., Da, L. and Wang, Y. F. 2013. MD-Leaping algorithm for multi-delayed biochemical reaction systems. J. Shanghai Univ. 19(1): 75--79.
[17]
Cao, Y., Gillespie, D.T. and Petzold, L. R. 2006. Efficient step size selection for the tau-leaping simulation method. J. Comp. Phys. 124(4): 044109.

Index Terms

  1. Accelerating Algorithm for Biochemical Reaction Systems with Multiple Delays

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICBBT '17: Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology
    May 2017
    123 pages
    ISBN:9781450348799
    DOI:10.1145/3093293
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    In-Cooperation

    • Department of Computer Science, University of Szeged: Department of Computer Science, University of Szeged
    • University of Lisbon: University of Lisbon

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 14 May 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Biochemical reaction systems
    2. multi-delayed
    3. stochastic simulation algorithm
    4. waiting record

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICBBT '17

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 40
      Total Downloads
    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 12 Sep 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media