Evidence map›Paper›PMID 28329017›Full record

ArticlePLoS computational biology2017

Navigating in foldonia: Using accelerated molecular dynamics to explore stability, unfolding and self-healing of the β-solenoid structure formed by a silk-like polypeptide.

Binwu Zhao, Martien A Cohen Stuart, Carol K Hall

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. 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

3 authors.

Binwu ZhaoDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, United States.
Martien A Cohen StuartLaboratory of Physical Chemistry & Colloid Science, Wageningen University, NL, Wageningen, The Netherlands.ORCID 0000-0001-6880-7861
Carol K HallDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, United States.ORCID 0000-0002-7425-587X

Funding

Biotechnology Research Partnerships Renewal: Aggregation of Therapeutic ProteinsR01EB006006 · NIBIB · UNIVERSITY OF COLORADO · PI RANDOLPH, THEODORE W · 2006 to 2017
$7.2M
NIBIB NIH HHS R01 EB006006
6 · The paper itself

Abstract

The β roll molecules with sequence (GAGAGAGQ)10 stack via hydrogen bonding to form fibrils which have been themselves been used to make viral capsids of DNA strands, supramolecular nanotapes and pH-responsive gels. Accelerated molecular dynamics (aMD) simulations are used to investigate the unfolding of a stack of two β roll molecules, (GAGAGAGQ)10, to shed light on the folding mechanism by which silk-inspired polypeptides form fibrils and to identify the dominant forces that keep the silk-inspired polypeptide in a β roll configuration. Our study shows that a molecule in a stack of two β roll molecules unfolds in a step-wise fashion mainly from the C terminal. The bottom template is found to play an important role in stabilizing the β roll structure of the molecule on top by strengthening the hydrogen bonds in the layer that it contacts. Vertical hydrogen bonds within the β roll structure are considerably weaker than lateral hydrogen bonds, signifying the importance of lateral hydrogen bonds in stabilizing the β roll structure. Finally, an intermediate structure was found containing a β hairpin and an anti-parallel β sheet consisting of strands from the top and bottom molecules, revealing the self-healing ability of the β roll stack.

Indexed as

Models, ChemicalMolecular Dynamics SimulationProtein FoldingPeptidesProtein ConformationProtein DomainsProtein UnfoldingSilkPeptidesSilk

Identifiers

PMID28329017
PMCPMC5388506

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.