Chapter 9. Ultrasensitive Response Motifs in Biochemical Networks

  1. Dr. Kannan Krishnan PhD, DABT, FATS Professor Director visiting scientist2 and
  2. Dr Melvin E. Andersen PhD, DABT, CIH, FATS Director3
  1. Qiang Zhang1,
  2. Sudin Bhattacharya1,
  3. Courtney G. Woods1 and
  4. Dr Melvin E. Andersen PhD, DABT, CIH, FATS Director3

Published Online: 30 MAR 2010

DOI: 10.1002/9780470686263.ch9

Quantitative Modeling in Toxicology

Quantitative Modeling in Toxicology

How to Cite

Zhang, Q., Bhattacharya, S., Woods, C. G. and Andersen, M. E. (2010) Ultrasensitive Response Motifs in Biochemical Networks, in Quantitative Modeling in Toxicology (eds K. Krishnan and M. E. Andersen), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470686263.ch9

Editor Information

  1. 2

    Département de santé environnementale et santé au travail, Ecole de santé publique & Faculté de médecine, Université de Montréal, Montréal, Canada

  2. 3

    Program in Chemical Safety Sciences, The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA

Author Information

  1. 1

    Division of Computational Biology, The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA

  2. 3

    Program in Chemical Safety Sciences, The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA

Publication History

  1. Published Online: 30 MAR 2010
  2. Published Print: 26 MAR 2010

ISBN Information

Print ISBN: 9780470998090

Online ISBN: 9780470686263

SEARCH

Keywords:

  • ultrasensitive response motifs in biochemical networks;
  • inputs as physiological signals or deleterious environmental perturbations - presence sensed through receptor molecules in cell;
  • transducing signals in ultrasensitive manner - being multi-faceted;
  • ultrasensitive motifs - best appreciated in context of protein and gene feedback networks;
  • concepts of ultrasensitivity and its relationship to Hill function;
  • Hill function, ultrasensitive response - with globally sigmoid shape;
  • ultrasensitive motif in biochemical networks and homo-multimerization;
  • positive feedback - signaling/network motif in biological systems;
  • combination of motifs - six ultrasensitive motifs, in signal transduction and gene networks

Summary

This chapter contains sections titled:

  • Introduction

  • Ultrasensitivity and Hill Function

  • Ultrasensitive Motifs

  • Combination of Motifs

  • Conclusion

  • References