Evidence map›Paper›PMID 26575554›Full record

ArticleJournal of chemical theory and computation2015

Targeting electrostatic interactions in accelerated molecular dynamics with application to protein partial unfolding.

Jose C Flores-Canales, Maria Kurnikova

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Journal of ophthalmic & vision research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Finding Our Way in the Dark Proteome.Journal of the American Chemical Society · 2016
    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.

Jose C Flores-CanalesDepartment of Chemistry, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States.
Maria KurnikovaDepartment of Chemistry, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States.

Funding

pH-Triggered Membrane Insertion of ProteinsR01GM069783 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI COCCO, MELANIE J, KURNIKOVA, MARIA G · 2004 to 2014
$2.5M
NIGMS NIH HHS GM-069783NIGMS NIH HHS R01 GM069783
6 · The paper itself

Abstract

Accelerated molecular dynamics (aMD) is a promising sampling method to generate an ensemble of conformations and to explore the free energy landscape of proteins in explicit solvent. Its success resides in its ability to reduce barriers in the dihedral and the total potential energy space. However, aMD simulations of large proteins can generate large fluctuations of the dihedral and total potential energy with little conformational changes in the protein structure. To facilitate wider conformational sampling of large proteins in explicit solvent, we developed a direct intrasolute electrostatic interactions accelerated MD (DISEI-aMD) approach. This method aims to reduce energy barriers within rapidly changing electrostatic interactions between solute atoms at short-range distances. It also results in improved reconstruction quality of the original statistical ensemble of the system. Recently, we characterized a pH-dependent partial unfolding of diphtheria toxin translocation domain (T-domain) using microsecond long MD simulations. In this work, we focus on the study of conformational changes of a low-pH T-domain model in explicit solvent using DISEI-aMD. On the basis of the simulations of the low-pH T-domain model, we show that the proposed sampling method accelerates conformational rearrangement significantly faster than multiple standard aMD simulations and microsecond long conventional MD simulations.

Indexed as

Molecular Dynamics SimulationProtein UnfoldingStatic ElectricityHydrogen-Ion ConcentrationProteinsProteins

Identifiers

PMID26575554
PMCPMC4925148

What OpenQuestion holds

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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.