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Geometric Predictors of Knotted and Linked Arcs.

Authors :
Sleiman JL
Burton RH
Caraglio M
Gutierrez Fosado YA
Michieletto D
Source :
ACS polymers Au [ACS Polym Au] 2022 Oct 12; Vol. 2 (5), pp. 341-350. Date of Electronic Publication: 2022 Jul 08.
Publication Year :
2022

Abstract

Inspired by how certain proteins "sense" knots and entanglements in DNA molecules, here, we ask if local geometric features that may be used as a readout of the underlying topology of generic polymers exist. We perform molecular simulations of knotted and linked semiflexible polymers and study four geometric measures to predict topological entanglements: local curvature, local density, local 1D writhe, and nonlocal 3D writhe. We discover that local curvature is a poor predictor of entanglements. In contrast, segments with maximum local density or writhe correlate as much as 90% of the time with the shortest knotted and linked arcs. We find that this accuracy is preserved across different knot types and also under significant spherical confinement, which is known to delocalize essential crossings in knotted polymers. We further discover that nonlocal 3D writhe is the best geometric readout of the knot location. Finally, we discuss how these geometric features may be used to computationally analyze entanglements in generic polymer melts and gels.<br />Competing Interests: The authors declare no competing financial interest.<br /> (© 2022 The Authors. Published by American Chemical Society.)

Details

Language :
English
ISSN :
2694-2453
Volume :
2
Issue :
5
Database :
MEDLINE
Journal :
ACS polymers Au
Publication Type :
Academic Journal
Accession number :
36254317
Full Text :
https://doi.org/10.1021/acspolymersau.2c00021