Evidence map›Paper›PMID 31501946›Full record

ArticleJournal of molecular modeling2019

Ewald-based methods for Gaussian integral evaluation: application to a new parameterization of GEM.

Robert E Duke, G Andrés Cisneros

Abstract read
In one paragraph

Article in Journal of molecular modeling, 2019. 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. Article
  4. Article
  5. Optimal Scheme to Achieve Energy Conservation in Induced Dipole Models.Journal of chemical theory and computation · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. 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.

Robert E DukeDepartment of Chemistry, University of North Texas, Denton, TX, 76202, USA.
G Andrés CisnerosDepartment of Chemistry, University of North Texas, Denton, TX, 76202, USA. andres@unt.edu.ORCID http://orcid.org/0000-0001-6629-3430

Funding

Theory and Simulation of DNA Repair Enzymes; Mechanism, Structure and FunctionR01GM108583 · NIGMS · WAYNE STATE UNIVERSITY · PI CISNEROS, GERARDO ANDRES · 2014 to 2022
$2.9M
NIGMS NIH HHS R01 GM108583NIGMS NIH HHS R01GM108583
6 · The paper itself

Abstract

The development of accurate potentials for computational simulations has been an active area of research. Our group has been involved in the development of the Gaussian electrostatic model (GEM), a force field based on molecular densities. The philosophy of GEM is based on the pioneering work of N. Gresh and co-workers of the reproduction of individual inter-molecular interaction components obtained from quantum mechanical (QM) energy decomposition analysis (EDA). The molecular densities used in GEM are represented by fitting accurate QM molecular densities using auxiliary basis sets (comprised of Hermite Gaussians). The use of these molecular densities results in the need to evaluate a large number of Gaussian integrals. We have previously shown that the particle-mesh Ewald (PME), and fast Fourier Poisson (FFP) methods can be used for efficiently evaluating these types of integrals. Here, we present the latest parameterization of GEM* and its application for an extensive study of PME and FFP for molecular dynamics (MD) simulations using a hybrid version of our potential, GEM*. The temperature dependence of various bulk properties is presented and discussed, as well as the effect of various parameters affecting the performance/accuracy of both methods.

Indexed as

Fast Fourier PoissonGaussian electrostatic modelParticle mesh EwaldPolarizable force field

Identifiers

PMID31501946
PMCPMC6741781

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