Evidence map›Paper›PMID 42720375›Full record

ArticleThe journal of physical chemistry. B2026

Coarse-Graining Reshapes Knot Dynamics in Polymers and Proteins.

Susmita Sarkar, Mark DelloStritto, Michael L Klein

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Susmita SarkarInstitute for Computational Molecular Science, Temple University, Philadelphia, PA19122, United States.ORCID 0009-0000-5539-2441
Mark DelloStrittoInstitute for Computational Molecular Science, Temple University, Philadelphia, PA19122, United States.ORCID 0000-0002-0678-5860
Michael L KleinInstitute for Computational Molecular Science, Temple University, Philadelphia, PA19122, United States.ORCID 0000-0002-0027-9262

Funding

DEVCOM Army Research Laboratory W911NF-21-2-0007
6 · The paper itself

Abstract

Coarse-grained (CG) molecular dynamics (MD) simulations offer an efficient route to explore long-time-scale dynamics of knots in proteins and polymers. Despite extensive studies of knots using both atomistic (AA-) and CG-MD simulations, systematic comparisons of how coarse-graining alters knot relaxation mechanisms, intermediates, and time scales─particularly in melts and proteins─remain scarce. Here, we employ AA- and CG-MD simulations to investigate the relaxation of tight knots in single polyethylene (PE) chains, PE-polymer melts, and a trefoil-knotted protein. Across all systems, CG models accelerate knot relaxation and enhance global mobility while preserving the dominant topological relaxation mechanism observed in AA-MD simulations. In single chains, CG-MD simulations produce smooth, monotonic unknotting trajectories, whereas AA-MD simulations reveal transient structural intermediates and intermittent shape rearrangements within the knot core. In melts, CG dynamics remain faster and more homogeneous, while AA polymers exhibit kinetically trapped intermediates and sliding-dominated relaxation driven by topological confinement. For the knotted protein, CG-MD simulations enable knot loosening and conformational rearrangements inaccessible on standard AA-MD time scales due to kinetic trapping. Collectively, these findings establish that coarse-graining systematically accelerates topological relaxation by smoothing the effective energy landscape and suppressing short-lived metastable knot conformations, while the dominant relaxation pathway is preserved.

Indexed as

Molecular Dynamics SimulationPolyethylenePolymersProteinsPolyethylenePolymersProteins

Identifiers

PMID42720375
PMCPMC13573621

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.