Evidence map›Paper›PMID 18432622›Full record

ArticleJournal of computational chemistry2008

Extension of adaptive tree code and fast multipole methods to high angular momentum particle charge densities.

Timothy J Giese, Darrin M York

Abstract readEvaluation Study
In one paragraph

Article in Journal of computational chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Quantum mechanical force fields for condensed phase molecular simulations.Journal of physics. Condensed matter : an Institute of Physics journal · 2017
    Article
  2. Multipolar Ewald methods, 1: theory, accuracy, and performance.Journal of chemical theory and computation · 2015
    Article
  3. Article
  4. Review
  5. Article
  6. Density-functional expansion methods: Grand challenges.Theoretical chemistry accounts · 2012
    Article
  7. Article
  8. 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.

Timothy J GieseDepartment of Chemistry, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Darrin M York

Funding

Multi-Scale Quantum Models for Ribozyme CatalysisR01GM062248 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Darrin M York · 2001 to 2026
$7.1M
New Theoretical Tools for BiocatalysisR01GM084149 · NIGMS · UNIVERSITY OF MINNESOTA · PI YORK, DARRIN M · 2008 to 2011
$1.2M
NIGMS NIH HHS GM2248NIGMS NIH HHS R01 GM062248NIGMS NIH HHS R01 GM084149
6 · The paper itself

Abstract

The development and implementation of a tree code (TC) and fast multipole method (FMM) for the efficient, linear-scaling calculation of long-range electrostatic interactions of particle distributions with variable shape and multipole character are described. The target application of these methods are stochastic boundary molecular simulations with polarizable force fields and/or combined quantum mechanical/molecular mechanical potentials. Linear-scaling is accomplished through the adaptive decomposition of the system into a hierarchy of interacting particle sets. Two methods for effecting this decomposition are evaluated: fluc-splitting and box-splitting, for which the latter is demonstrated to be generally more accurate. In addition, a generalized termination criterion is developed that delivers optimal performance at fixed error tolerance that, in the case of quadrupole-represented Drude water, effects a speed-up by a factor of 2-3 relative to a multipole-independent termination criteria. The FMM is shown to be approximately 2-3 times faster than the TC, independent of the system size and multipole order of the particles. The TC and FMM are tested for a variety of static and polarizable water systems, and for the the 70S ribosome functional complex containing an assembly of transfer and messenger RNAs.

Indexed as

Computational BiologyModels, TheoreticalStatic ElectricityMacromolecular SubstancesParticle SizeRibosomesMacromolecular Substances

Identifiers

PMID18432622
PMCPMC2716046

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.