Evidence map›Paper›PMID 33121942›Full record

ArticleBiophysical journal2020

Combined Force-Torque Spectroscopy of Proteins by Means of Multiscale Molecular Simulation.

Thijs W G van der Heijden, Daniel J Read, Oliver G Harlen, Paul van der Schoot, Sarah A Harris, Cornelis Storm

Abstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Thijs W G van der HeijdenTheory of Polymers and Soft Matter, Eindhoven University of Technology, Eindhoven, the Netherlands. Electronic address: t.w.g.van.der.heijden@tue.nl.
Daniel J ReadSchool of Mathematics, University of Leeds, Leeds, United Kingdom.
Oliver G HarlenSchool of Mathematics, University of Leeds, Leeds, United Kingdom.
Paul van der SchootTheory of Polymers and Soft Matter, Eindhoven University of Technology, Eindhoven, the Netherlands; Instituut voor Theoretische Fysica, Universiteit Utrecht, Utrecht, the Netherlands.
Sarah A HarrisSchool of Physics and Astronomy, University of Leeds, Leeds, United Kingdom; Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, United Kingdom.
Cornelis StormTheory of Polymers and Soft Matter, Eindhoven University of Technology, Eindhoven, the Netherlands; Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the structural properties of large proteins is important to gain an understanding of their function in, e.g., biological systems or biomedical applications. We propose a method to examine the mechanical properties of proteins subject to applied forces by means of multiscale simulation. Both stretching and torsional forces are considered, and these may be applied independently of each other. As a proof of principle, we apply torsional forces to a coarse-grained continuum model of the antibody protein immunoglobulin G using fluctuating finite element analysis and use it to identify the area of strongest deformation. This region is essential to the torsional properties of the molecule as a whole because it represents the softest, most deformable domain. Zooming in, this part of the molecule is subjected to torques and stretching forces using molecular dynamics simulations on an atomistically resolved level to investigate its torsional properties. We calculate the torsional resistance as a function of the rotation of the domain while subjecting it to various stretching forces. From this, we assess how the measured twist-torque profiles develop with increasing stretching force and show that they exhibit torsion stiffening, in qualitative agreement with experimental findings. We argue that combining the twist-torque profiles for various stretching forces effectively results in a combined force-torque spectroscopy analysis, which may serve as a mechanical signature for a biological macromolecule.

Indexed as

TorqueFinite Element AnalysisRotationSpectrum AnalysisTorsion, Mechanical

Identifiers

PMID33121942
PMCPMC7732774

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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.