Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Signal propagation in proteins and relation to equilibrium fluctuations

Chennubhotla, C and Bahar, I (2007) Signal propagation in proteins and relation to equilibrium fluctuations. PLoS Computational Biology, 3 (9). 1716 - 1726. ISSN 1553-734X

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (826kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Elastic network (EN) models have been widely used in recent years for describing protein dynamics, based on the premise that the motions naturally accessible to native structures are relevant to biological function. We posit that equilibrium motions also determine communication mechanisms inherent to the network architecture. To this end, we explore the stochastics of a discrete-time, discrete-state Markov process of information transfer across the network of residues. We measure the communication abilities of residue pairs in terms of hit and commute times, i.e., the number of steps it takes on an average to send and receive signals. Functionally active residues are found to possess enhanced communication propensities, evidenced by their short hit times. Furthermore, secondary structural elements emerge as efficient mediators of communication. The present findings provide us with insights on the topological basis of communication in proteins and design principles for efficient signal transduction. While hit/commute times are information-theoretic concepts, a central contribution of this work is to rigorously show that they have physical origins directly relevant to the equilibrium fluctuations of residues predicted by EN models. © 2007 Chennubhotla and Bahar.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Chennubhotla, C
Bahar, Ibahar@pitt.eduBAHAR
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorLevitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 1 January 2007
Date Type: Publication
Journal or Publication Title: PLoS Computational Biology
Volume: 3
Number: 9
Page Range: 1716 - 1726
DOI or Unique Handle: 10.1371/journal.pcbi.0030172
Schools and Programs: School of Medicine > Computational Biology
Refereed: Yes
ISSN: 1553-734X
PubMed ID: 17892319
Date Deposited: 18 Jul 2012 21:08
Last Modified: 22 Jun 2019 14:56
URI: http://d-scholarship.pitt.edu/id/eprint/12917

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item