Evidence map›Paper›PMID 33130123›Full record

ArticleBiophysical journal2020

Piecewise All-Atom SMD Simulations Reveal Key Secondary Structures in Luciferase Unfolding Pathway.

Pan Zhang, David Wang, Weitao Yang, Piotr E Marszalek

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Implementation of Telescoping Boxes in Adaptive Steered Molecular Dynamics.Journal of chemical theory and computation · 2022
    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.

Pan ZhangDepartment of Chemistry, Duke University, Durham, North Carolina.
David WangDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina.
Weitao YangDepartment of Chemistry, Duke University, Durham, North Carolina. Electronic address: weitao.yang@duke.edu.
Piotr E MarszalekDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina. Electronic address: pemar@duke.edu.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
COMPUTER SIMULATIONS OF ENZYMES AND DNAR01GM061870 · NIGMS · DUKE UNIVERSITY · PI YANG, WEITAO · 2000 to 2022
$5.5M
NIGMS NIH HHS P41 GM103311NIGMS NIH HHS R01 GM061870
6 · The paper itself

Abstract

Although the folding of single-domain proteins is well characterized theoretically and experimentally, the folding of large multidomain proteins is less well known. Firefly luciferase, a 550 residue three-domain protein, has been commonly used as a substrate to study chaperone reactions and as a model system for the study of folding of long polypeptide chains, including related phenomena such as cotranslational folding. Despite being characterized by various experimental techniques, the atomic-level contributions of various secondary structures of luciferase to its fold's mechanical stability remain unknown. Here, we developed a piecewise approach for all-atom steered molecular dynamics simulations to examine specific secondary structures that resist mechanical unfolding while minimizing the amount of computational resources required by the large water box of standard all-atom steered molecular dynamics simulations. We validated the robustness of this approach with a small NI3C protein and used our approach to elucidate the specific secondary structures that provide the largest contributions to luciferase mechanostability. In doing so, we show that piecewise all-atom steered molecular dynamics simulations can provide novel atomic resolution details regarding mechanostability and can serve as a platform for novel mutagenesis studies as well as a point for comparison with high-resolution force spectroscopy experiments.

Indexed as

Molecular ChaperonesMolecular Dynamics SimulationLuciferasesMicroscopy, Atomic ForcePeptidesProtein FoldingProtein Structure, SecondaryLuciferasesMolecular ChaperonesPeptides

Identifiers

PMID33130123
PMCPMC7732773

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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.