A Newly Identified Class of Protein Misfolding in All-atom Folding Simulations Consistent with Limited Proteolysis Mass Spectrometry

Abstract Several mechanisms intrinsic to a protein’s primary structure are known to cause monomeric protein misfolding. Coarse-grained simulations, in which multiple atoms are represented by a single interaction site, have predicted a novel mechanism of misfolding exists involving off-pathway, non-covalent lasso entanglements, which are distinct from protein knots and slip knots. These misfolded states can be long-lived kinetic traps, and in some cases are structurally similar to the native state according to those simulations. Here, we examine whether such misfolded states occur in long-time-scale, physics-based all-atom simulations of protein folding. We find they do indeed form, estimate they can persist for weeks, and some have characteristics similar to the native state. Digestion patterns from Limited Proteolysis Mass Spectrometry are consistent with the presence of changes in entanglement in these proteins. These results indicate monomeric proteins can exhibit subpopulations of misfolded, self-entangled states that can explain long-timescale changes in protein structure and functionin vivo.One-Sentence Summary Entangled misfolded states form in physics-based all-atom simulations of protein folding and have characteristics similar to the native state..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 26. Nov. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Vu, Quyen V. [VerfasserIn]
Sitarik, Ian [VerfasserIn]
Jiang, Yang [VerfasserIn]
Yadav, Divya [VerfasserIn]
Sharma, Piyoosh [VerfasserIn]
Fried, Stephen D. [VerfasserIn]
Li, Mai Suan [VerfasserIn]
O’Brien, Edward P. [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2022.07.19.500586

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI036576751