Evidence map›Paper›PMID 35364872›Full record

ArticleThe Journal of chemical physics2022

Assessing models of force-dependent unbinding rates via infrequent metadynamics.

Willmor J Peña Ccoa, Glen M Hocky

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Stepping Up Enhanced Rate Calculations with EATR-Flooding.Journal of chemical theory and computation · 2026
    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. Review
  6. Article
  7. Article
  8. Topology of molecular deformations induces triphasic catch bonding in selectin-ligand bonds.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. 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

2 authors.

Willmor J Peña CcoaDepartment of Chemistry, New York University, New York, New York 10003, USA.ORCID s0000000231629309
Glen M HockyDepartment of Chemistry, New York University, New York, New York 10003, USA.ORCID s0000000256370698

Funding

Harnessing simulations to uncover molecular mechanisms of mechanosensingR35GM138312 · NIGMS · NEW YORK UNIVERSITY · PI Glen Hocky · 2020 to 2026
$3.0M
NIGMS NIH HHS R35 GM138312
6 · The paper itself

Abstract

Protein-ligand interactions are crucial for a wide range of physiological processes. Many cellular functions result in these non-covalent "bonds" being mechanically strained, and this can be integral to proper cellular function. Broadly, two classes of force dependence have been observed-slip bonds, where the unbinding rate increases, and catch bonds, where the unbinding rate decreases. Despite much theoretical work, we cannot predict for which protein-ligand pairs, pulling coordinates, and forces a particular rate dependence will appear. Here, we assess the ability of MD simulations combined with enhanced sampling techniques to probe the force dependence of unbinding rates. We show that the infrequent metadynamics technique correctly produces both catch and slip bonding kinetics for model potentials. We then apply it to the well-studied case of a buckyball in a hydrophobic cavity, which appears to exhibit an ideal slip bond. Finally, we compute the force-dependent unbinding rate of biotin-streptavidin. Here, the complex nature of the unbinding process causes the infrequent metadynamics method to begin to break down due to the presence of unbinding intermediates, despite the use of a previously optimized sampling coordinate. Allowing for this limitation, a combination of kinetic and free energy computations predicts an overall slip bond for larger forces consistent with prior experimental results although there are substantial deviations at small forces that require further investigation. This work demonstrates the promise of predicting force-dependent unbinding rates using enhanced sampling MD techniques while also revealing the methodological barriers that must be overcome to tackle more complex targets in the future.

Indexed as

ProteinsHydrophobic and Hydrophilic InteractionsKineticsLigandsStreptavidinLigandsProteinsStreptavidin

Identifiers

PMID35364872
PMCPMC8957391

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.