Evidence map›Paper›PMID 26331258›Full record

ArticleBiophysical journal2015

An Analysis of Biomolecular Force Fields for Simulations of Polyglutamine in Solution.

Aaron M Fluitt, Juan J de Pablo

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  6. Recent Force Field Strategies for Intrinsically Disordered Proteins.Journal of chemical information and modeling · 2021
    Review
  7. Article
  8. Dissecting the role of glutamine in seeding peptide aggregation.Computational and structural biotechnology journal · 2021
    Article
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  10. Article
  11. Review
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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 at 1 institution in 1 country.

Aaron M FluittInstitute for Molecular Engineering, University of Chicago, Chicago, Illinois.
Juan J de PabloInstitute for Molecular Engineering, University of Chicago, Chicago, Illinois; Argonne National Laboratory, Lemont, Illinois. Electronic address: depablo@uchicago.edu.
University of Chicago · US

Funding

Beagle-2S10OD018495 · OD · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2014 to 2014
$2.0M
NIH HHS 1S10OD018495-01NIH HHS S10 OD018495
6 · The paper itself

Abstract

Polyglutamine (polyQ) peptides are a useful model system for biophysical studies of protein folding and aggregation, both for their intriguing aggregation properties and their own relevance to human disease. The genetic expansion of a polyQ tract triggers the formation of amyloid aggregates associated with nine neurodegenerative diseases. Several clearly identifiable and separable factors, notably the length of the polyQ tract, influence the mechanism of aggregation, its associated kinetics, and the ensemble of structures formed. Atomistic simulations are well positioned to answer open questions regarding the thermodynamics and kinetics of polyQ folding and aggregation. The additional, explicit representation of water permits deeper investigation of the role of solvent dynamics, and it permits a direct comparison of simulation results with infrared spectroscopy experiments. The generation of meaningful simulation results hinges on satisfying two essential criteria: achieving sufficient conformational sampling to draw statistically valid conclusions, and accurately reproducing the intermolecular forces that govern system structure and dynamics. In this work, we examine the ability of 12 biomolecular force fields to reproduce the properties of a simple, 30-residue polyQ peptide (Q30) in explicit water. In addition to secondary and tertiary structure, we consider generic structural properties of polymers that provide additional dimensions for analysis of the highly degenerate disordered states of the molecule. We find that the 12 force fields produce a wide range of predictions. We identify AMBER ff99SB, AMBER ff99SB*, and OPLS-AA/L to be most suitable for studies of polyQ folding and aggregation.

Indexed as

Molecular Dynamics SimulationPeptidesProtein FoldingProtein MultimerizationProtein Structure, QuaternaryProtein Structure, SecondarySolutionsThermodynamicsPeptidespolyglutamineSolutions

Identifiers

PMID26331258
PMCPMC4564678
OpenAlexW1908381757

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.