Insights into Eukaryotic Interacting Protein Evolution

  • Chakraborty S
  • Podder S
  • Kahali B
  • et al.
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The overall molecular architecture of all organisms is mainly mediated through the sophisticated coordination of protein protein interactions. It has immensely prospered the arena of systems biology providing an inclusive perspective of the interrelationships between proteins. The evolutionary mechanisms of protein protein interaction networks are now being appreciated as a major factor in shaping their present-day structures and properties. This chapter provides a systematic computational framework for identifying important evolutionary forces within protein protein interaction network by considering Saccharomyces cerevisiae and Homo sapiens as model organisms. In summary, our works enlighten that in yeast protein interaction network, evolutionary rate discrimination of date and party hub proteins are ascertained by protein disordemess and presence of buried residue. For protein complex in interaction network, evolutionary rate is mostly governed by complex forming ability though the role of connectivity and expression level is also established. However, in case of human, no such role of connectivity has been detected, rather multifunctionality, protein domain coverage, as well as expression level are regarded as a major determining evolutionary forces in protein interaction network. Intriguingly, human complex forming units offer an exclusive facet of non-hub proteins, which with a high disordemess play a hub-like nature and involve in large complex formation.

Cite

CITATION STYLE

APA

Chakraborty, S., Podder, S., Kahali, B., Begum, T., Sen, K., & Ghosh, T. C. (2011). Insights into Eukaryotic Interacting Protein Evolution. In Evolutionary Biology – Concepts, Biodiversity, Macroevolution and Genome Evolution (pp. 51–70). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-20763-1_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free