Evidence map›Paper›PMID 26930454›Full record

ArticleJournal of chemical theory and computation2016

Quantum Mechanics/Molecular Mechanics Method Combined with Hybrid All-Atom and Coarse-Grained Model: Theory and Application on Redox Potential Calculations.

Lin Shen, Weitao Yang

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. A Vision for the Future of Multiscale Modeling.ACS physical chemistry Au · 2024
    Review
  3. Review
  4. Article
  5. Adaptive resolution simulations of biomolecular systems.European biophysics journal : EBJ · 2017
    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

2 authors at 1 institution in 1 country.

Lin ShenDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Weitao YangDepartment of Chemistry, Duke University , Durham, North Carolina 27708, United States.
Duke University · US

Funding

COMPUTER SIMULATIONS OF ENZYMES AND DNAR01GM061870 · NIGMS · DUKE UNIVERSITY · PI YANG, WEITAO · 2000 to 2022
$5.5M
NIGMS NIH HHS R01 GM061870NIGMS NIH HHS R01 GM061870-13
6 · The paper itself

Abstract

We developed a new multiresolution method that spans three levels of resolution with quantum mechanical, atomistic molecular mechanical, and coarse-grained models. The resolution-adapted all-atom and coarse-grained water model, in which an all-atom structural description of the entire system is maintained during the simulations, is combined with the ab initio quantum mechanics and molecular mechanics method. We apply this model to calculate the redox potentials of the aqueous ruthenium and iron complexes by using the fractional number of electrons approach and thermodynamic integration simulations. The redox potentials are recovered in excellent accordance with the experimental data. The speed-up of the hybrid all-atom and coarse-grained water model renders it computationally more attractive. The accuracy depends on the hybrid all-atom and coarse-grained water model used in the combined quantum mechanical and molecular mechanical method. We have used another multiresolution model, in which an atomic-level layer of water molecules around redox center is solvated in supramolecular coarse-grained waters for the redox potential calculations. Compared with the experimental data, this alternative multilayer model leads to less accurate results when used with the coarse-grained polarizable MARTINI water or big multipole water model for the coarse-grained layer.

Indexed as

Computer SimulationCoordination ComplexesIron CompoundsModels, MolecularOxidation-ReductionQuantum TheoryRutheniumThermodynamicsWaterCoordination ComplexesIron CompoundsRutheniumWater

Identifiers

PMID26930454
PMCPMC4977206
OpenAlexW2292368198

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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.