Skip to main content

A Comprehensive Computational Model to Simulate Transcription Factor Binding in Prokaryotes

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7223))

Abstract

Site specific transcription factors (TF) are proteins that orchestrate transcription by binding to specific target sites on the DNA. This binding can be both sequence- and conformation-specific. However, also non-specific binding with lower affinity can be observed [3]. The number of specific target sites is significantly smaller compared to the number of non-specific sites and, consequently, TF molecules bind, in a first instance, non-specifically to the DNA. Once bound to the DNA the TF molecules perform an one dimensional random walk on the DNA until they either find a target site or unbind from the DNA template. In particular, during the one dimensional random walk on the DNA, a molecule will perform one of the three types of movements: (i) sliding , (ii) hopping and (iii) jumping [6]. This combination of one and three dimensional diffusion is called facilitated diffusion and it is hypothesised that this speeds up the search process [3,2,5].

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
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

Learn about institutional subscriptions

References

  1. Barnes, D.J., Chu, D.F.: An efficient model for investigating specific site binding of transcription factors. In: 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE), June 18-20, pp. 1–4. IEEE Xplore, Chengdu (2010)

    Chapter  Google Scholar 

  2. Benichou, O., Loverdo, C., Moreau, M., Voituriez, R.: Optimizing intermittent reaction paths. Physical Chemistry Chemical Physics 10(47), 7059–7072 (2008)

    Article  Google Scholar 

  3. Berg, O.G., Winter, R.B., von Hippel, P.H.: Diffusion-driven mechanisms of protein translocation on nucleic acids. 1. models and theory. Biochemistry 20(24), 6929–6948 (1981)

    Article  Google Scholar 

  4. Chu, D., Zabet, N.R., Mitavskiy, B.: Models of transcription factor binding: Sensitivity of activation functions to model assumptions. Journal of Theoretical Biology 257(3), 419–429 (2009)

    Article  Google Scholar 

  5. Halford, S.E.: An end to 40 years of mistakes in dnaprotein association kinetics? Biochemical Society Transactions 37, 343–348 (2009)

    Article  Google Scholar 

  6. Mirny, L., Slutsky, M., Wunderlich, Z., Tafvizi, A., Leith, J., Kosmrlj, A.: How a protein searches for its site on dna: the mechanism of facilitated diffusion. Journal of Physics A: Mathematical and Theoretical 42, 434013 (2009)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zabet, N.R., Adryan, B. (2012). A Comprehensive Computational Model to Simulate Transcription Factor Binding in Prokaryotes. In: Lones, M.A., Smith, S.L., Teichmann, S., Naef, F., Walker, J.A., Trefzer, M.A. (eds) Information Processign in Cells and Tissues. IPCAT 2012. Lecture Notes in Computer Science, vol 7223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28792-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28792-3_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28791-6

  • Online ISBN: 978-3-642-28792-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics