Evidence map›Paper›PMID 25100924›Full record

ArticleJournal of chemical theory and computation2012

Computationally Efficient Multiconfigurational Reactive Molecular Dynamics.

Takefumi Yamashita, Yuxing Peng, Chris Knight, Gregory A Voth

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Quantitative insights into the mechanism of proton conduction and selectivity for the human voltage-gated proton channel Hv1.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  7. Accurate pThe journal of physical chemistry. B · 2022
    Article
  8. Article
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  10. A quantitative paradigm for water-assisted proton transport through proteins and other confined spaces.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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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

4 authors.

Takefumi YamashitaLaboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, the University of Tokyo, 4-6-1 Komaba, Tokyo, Japan.
Yuxing PengDepartment of Chemistry, James Franck Institute, and Computation Institute, University of Chicago, Chicago, IL 6063.
Chris KnightComputing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, IL 60439.
Gregory A VothDepartment of Chemistry, James Franck Institute, and Computation Institute, University of Chicago, Chicago, IL 6063 ; Computing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, IL 60439.

Funding

SIMULATIONS OF PROTON TRANSLOCATION IN BIOMOLECULESR01GM053148 · NIGMS · UNIVERSITY OF UTAH · PI VOTH, GREGORY A. · 1996 to 2021
$5.3M
NIGMS NIH HHS R01 GM053148
6 · The paper itself

Abstract

It is a computationally demanding task to explicitly simulate the electronic degrees of freedom in a system to observe the chemical transformations of interest, while at the same time sampling the time and length scales required to converge statistical properties and thus reduce artifacts due to initial conditions, finite-size effects, and limited sampling. One solution that significantly reduces the computational expense consists of molecular models in which effective interactions between particles govern the dynamics of the system. If the interaction potentials in these models are developed to reproduce calculated properties from electronic structure calculations and/or ab initio molecular dynamics simulations, then one can calculate accurate properties at a fraction of the computational cost. Multiconfigurational algorithms model the system as a linear combination of several chemical bonding topologies to simulate chemical reactions, also sometimes referred to as "multistate". These algorithms typically utilize energy and force calculations already found in popular molecular dynamics software packages, thus facilitating their implementation without significant changes to the structure of the code. However, the evaluation of energies and forces for several bonding topologies per simulation step can lead to poor computational efficiency if redundancy is not efficiently removed, particularly with respect to the calculation of long-ranged Coulombic interactions. This paper presents accurate approximations (effective long-range interaction and resulting hybrid methods) and multiple-program parallelization strategies for the efficient calculation of electrostatic interactions in reactive molecular simulations.

Indexed as

coarse-grainingeffective long-range interactionmultiple-program parallelizationreactive molecular dynamics

Identifiers

PMID25100924
PMCPMC4120847

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.