Skip to main content

Research Repository

Advanced Search

Protein collapse is encoded in the folded state architecture

Samanta, Himadri S.; Zhuravlev, Pavel I.; Hinczewski, Michael; Hori, Naoto; Chakrabarti, Shaon; Thirumalai, D.

Protein collapse is encoded in the folded state architecture Thumbnail


Authors

Himadri S. Samanta

Pavel I. Zhuravlev

Michael Hinczewski

Shaon Chakrabarti

D. Thirumalai



Abstract

Folded states of single domain globular proteins are compact with high packing density. The radius of gyration, Rg, of both the folded and unfolded states increase as Nν where N is the number of amino acids in the protein. The values of the Flory exponent ν are, respectively, ≈⅓ and ≈0.6 in the folded and unfolded states, coinciding with those for homopolymers. However, the extent of compaction of the unfolded state of a protein under low denaturant concentration (collapsibility), conditions favoring the formation of the folded state, is unknown. We develop a theory that uses the contact map of proteins as input to quantitatively assess collapsibility of proteins. Although collapsibility is universal, the propensity to be compact depends on the protein architecture. Application of the theory to over two thousand proteins shows that collapsibility depends not only on N but also on the contact map reflecting the native structure. A major prediction of the theory is that β-sheet proteins are far more collapsible than structures dominated by α-helices. The theory and the accompanying simulations, validating the theoretical predictions, provide insights into the differing conclusions reached using different experimental probes assessing the extent of compaction of proteins. By calculating the criterion for collapsibility as a function of protein length we provide quantitative insights into the reasons why single domain proteins are small and the physical reasons for the origin of multi-domain proteins. Collapsibility of non-coding RNA molecules is similar β-sheet proteins structures adding support to “Compactness Selection Hypothesis”.

Journal Article Type Article
Acceptance Date Apr 14, 2017
Online Publication Date Apr 27, 2017
Publication Date May 17, 2017
Deposit Date Sep 19, 2020
Publicly Available Date Mar 12, 2021
Journal Soft Matter
Print ISSN 1744-683X
Electronic ISSN 1744-6848
Publisher Royal Society of Chemistry
Peer Reviewed Peer Reviewed
Volume 13
Issue 19
Pages 3622-3638
DOI https://doi.org/10.1039/c7sm00074j
Public URL https://nottingham-repository.worktribe.com/output/4342491
Publisher URL https://pubs.rsc.org/en/content/articlelanding/2017/SM/C7SM00074J#!divAbstract

Files





You might also like



Downloadable Citations