Evidence map›Paper›PMID 34709040›Full record

ArticleThe journal of physical chemistry. B2021

Molecular Paradigms for Biological Mechanosensing.

David Gomez, Willmor J Peña Ccoa, Yuvraj Singh, Enrique Rojas, Glen M Hocky

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A direct computational assessment of vinculin-actin unbinding kinetics reveals catch-bonding behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Forces and Flows at Cell Surfaces.The Journal of membrane biology · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
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

5 authors.

David GomezDepartment of Biology, New York University, New York, New York 10003, United States.
Willmor J Peña CcoaDepartment of Chemistry, New York University, New York, New York 10003, United States.
Yuvraj SinghDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0003-3022-6871
Enrique RojasDepartment of Biology, New York University, New York, New York 10003, United States.
Glen M HockyDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0002-5637-0698

Funding

Harnessing simulations to uncover molecular mechanisms of mechanosensingR35GM138312 · NIGMS · NEW YORK UNIVERSITY · PI Glen Hocky · 2020 to 2026
$3.0M
Exploring mechanical mechanisms of antibiotic resistanceR35GM143057 · NIGMS · NEW YORK UNIVERSITY · PI ROJAS, ENRIQUE · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM138312NIGMS NIH HHS R35 GM143057
6 · The paper itself

Abstract

Many proteins in living cells are subject to mechanical forces, which can be generated internally by molecular machines, or externally, e.g., by pressure gradients. In general, these forces fall in the piconewton range, which is similar in magnitude to forces experienced by a molecule due to thermal fluctuations. While we would naively expect such moderate forces to produce only minimal changes, a wide variety of "mechanosensing" proteins have evolved with functions that are responsive to forces in this regime. The goal of this article is to provide a physical chemistry perspective on protein-based molecular mechanosensing paradigms used in living systems, and how these paradigms can be explored using novel computational methods.

Indexed as

Mechanical PhenomenaMechanotransduction, CellularProteinsProteins

Identifiers

PMID34709040
PMCPMC9074121

What OpenQuestion holds

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Registered trials

None linked

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.