Skip to main content

A New Method for Stochastic Simulation of Macromolecule Conformation

  • Conference paper
Applied Informatics and Communication (ICAIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

Included in the following conference series:

  • 1792 Accesses

Abstract

The conformation statistics of single chain of polymer is a most basic and important problem in polymer science. Common polymer chain could do internal rotation around its chemical bond because thermal motion, this makes polymer chain’s form change ceaselessly. Because the molecular weight of macromolecule is very large, the number of polymer conformation is too large to be resolved using the common mathematical methods. This paper researches the free rotation chain conformation in non-lattice chain of high molecule. Through setting-up mathematical model, a new method is proposed to simulate the polymer chain. Simulation result shows the polymer conformation in microcosmic and reflects the characteristic “random coil” of polymer chain actually. These results provide an important basis for further quantitative analysis and optimal design.

The research is supported by CNPC Innovation Fund, the projects for State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation in P.R.C.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yamakawa, H.: Modern Theory of Polymer Solution. Happer & Row, New York (1971)

    Google Scholar 

  2. Flory, P.J.: Principles of Polymer Chemistry. Cornell Univ. Press, Ithica (1953)

    Google Scholar 

  3. Wu, D.: Introduction for conformation analysis of macromolecule. Sichuan educational Press, Chengdu (1985)

    Google Scholar 

  4. Flory, P.J.: Statistical Mechanics of Chain Molecules. Wiley-Intersciencek, New York (1969)

    Google Scholar 

  5. Frenkel, S.: Molecule simulation——from arithmetic to application (translated by Wang, W., et al). Chemistry Industry Press, Beijing (2002)

    Google Scholar 

  6. Allen, M.P., et al.: Computer Simulation of Liquids. Clarendon Press, Oxford (1987)

    MATH  Google Scholar 

  7. McCrackin, F.L.: Configuration of isolated polymer molecules adsorbed on solid surfaces studied by Monte-Carlo computer simulation. J. Chem. Phys. 47, 1980–1986 (1967)

    Article  Google Scholar 

  8. Verdier, P.H., Ibid: Monte Carlo studies of lattice-model polymer chains.II.end to end length. J. Chem. Phys. 45, 2122–2128 (1966)

    Article  Google Scholar 

  9. Rosenbluth, M.N., Rosenbluth, A.W.: Monte Carlo calculation of the average extension of molecular chains. J. Chem. Phys. 23, 356–359 (1955)

    Article  Google Scholar 

  10. Volkenstein: Configurational Statistics of Polymeric Chains; Translated from the Russian: Timasheff, S. N., Timasbeff, M. J. (ed.) Interscience, New York (1963)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shu-yong, H., Lie-hui, Z., Heng-shen, Y. (2011). A New Method for Stochastic Simulation of Macromolecule Conformation. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23214-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics