Sign in
BiophysicsBiophysical Journal
Peer-reviewed journal article

Folding and knotting of biotic and pre-biotic amino acid sequences through reverse evolution

João N. C. EspecialiD, Patrícia F. N. FaíscaiD

Abstract

We develped a simple reverse evolution method to explore the protein folding transition and knotting process in globular proteins throughout evolution using as a proxy for evolutionary time the lenght of the amino acid alphabet. Three small proteins were considered. An unknotted one featuring a beta-sandwhich fold (FN3), a protein embedding a shallow trefoil knot (MJ0366), and a deeply knotted trefoil protein (YibK). Results from Monte Carlo simulations of a native-centric C model show that thermal stability increases througout evolution for all considered proteins suggesting it provided a selective pressure for the introduction of biosynthetic amino acids in the alphabet repertoire. Additionally, the thermodynamic cooperativity, the two-state nature of the folding transition, and the kinetic efficiency of folding (and knotting) displayed by the unknotted (and shallow knotted) protein have been roughly conserved throughout evolution, indicating that early alphabets, and, in particular the anscestral one composed of 10 amino acids, is competent to self-assemble relatively complex native structures. However, while the ancestral alphabet is clearly more efficient in collapsing the polypetpide chain to non-specific (i.e. non-native) knots, it significantly compromises the thermodynamic cooperativity and the folding ability of the deeply knotted protein YibK. The findings presented here collectively suggest that the alphabet of amino acids evolved to improve folding, but early alphabets might not have favoured the folding of native structures with deep knots. This could help to explain why deep knots in proteins are statistically uncommon.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
2
FWCI
0.60
Field percentile
top 39%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMakarov '22Giacobelli '25Faisca '23Sahakyan '25Nerattini '18Tretyachenk '21
76% semantic matchBiophysics
M. Makarov, A. C. S. Rocha, R. Krystufek+8 more·bioRxiv·Jun 14, 2022