Evidence map›Paper›PMID 33780250›Full record

ArticleJournal of chemical theory and computation2021

Reconstruction of ARNT PAS-B Unfolding Pathways by Steered Molecular Dynamics and Artificial Neural Networks.

Stefano Motta, Alessandro Pandini, Arianna Fornili, Laura Bonati

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. 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

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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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Structural assembly of the PAS domain drives the catalytic activation of metazoan PASK.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. TCDD-Induced Allosteric Perturbation of the AhR:ARNT Binding to DNA.International journal of molecular sciences · 2023
    Article
  9. Review
  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

4 authors.

Stefano MottaDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan 20126, Italy.ORCID http://orcid.org/0000-0002-0812-6834
Alessandro PandiniDepartment of Computer Science, Brunel University London, Uxbridge UB8 3PH, United Kingdom.
Arianna ForniliSchool of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom.ORCID http://orcid.org/0000-0001-6554-3979
Laura BonatiDepartment of Earth and Environmental Sciences, University of Milano-Bicocca, Milan 20126, Italy.ORCID http://orcid.org/0000-0003-3028-0368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several experimental studies indicated that large conformational changes, including partial domain unfolding, have a role in the functional mechanisms of the basic helix loop helix Per/ARNT/SIM (bHLH-PAS) transcription factors. Recently, single-molecule atomic force microscopy (AFM) revealed two distinct pathways for the mechanical unfolding of the ARNT PAS-B. In this work we used steered molecular dynamics simulations to gain new insights into this process at an atomistic level. To reconstruct and classify pathways sampled in multiple simulations, we designed an original approach based on the use of self-organizing maps (SOMs). This led us to identify two types of unfolding pathways for the ARNT PAS-B, which are in good agreement with the AFM findings. Analysis of average forces mapped on the SOM revealed a stable conformation of the PAS-B along one pathway, which represents a possible structural model for the intermediate state detected by AFM. The approach here proposed will facilitate the study of other signal transmission mechanisms involving the folding/unfolding of PAS domains.

Indexed as

Molecular Dynamics SimulationNeural Networks, ComputerBasic Helix-Loop-Helix ProteinsMicroscopy, Atomic ForceProtein ConformationProtein UnfoldingBasic Helix-Loop-Helix Proteins

Identifiers

PMID33780250
PMCPMC8047803

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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.