Evidence map›Paper›PMID 34302679›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Preparing and Analyzing Polarizable Molecular Dynamics Simulations with the Classical Drude Oscillator Model.

Justin A Lemkul

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Running Gaussian-accelerated Molecular Dynamics Simulations in NAMD [Article v1.0].Living journal of computational molecular science · 2025
    Article
  3. 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

1 author.

Justin A LemkulDepartment of Biochemistry, Virginia Tech, Blacksburg, VA, USA. jalemkul@vt.edu.

Funding

Exploring Electronic Polarization in Biomolecular Folding and InteractionsR35GM133754 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Justin Alan Lemkul · 2019 to 2026
$2.2M
NIGMS NIH HHS R35 GM133754
6 · The paper itself

Abstract

Molecular dynamics (MD) simulations performed with force fields that include explicit electronic polarization are becoming more prevalent in the field. The increasing emergence of these simulations is a result of continual refinement against a range of theoretical and empirical target data, optimization of software algorithms for higher performance, and availability of graphical processing unit hardware to further accelerate the simulations. Polarizable MD simulations are likely to be most impactful in biomolecular systems in which heterogeneous environments or unique microenvironments exist that would lead to inaccuracies in simulations performed with fixed-charge, nonpolarizable force fields. The further adoption of polarizable MD simulations will benefit from tutorial material that specifically addresses preparing and analyzing their unique features. In this chapter, we introduce common protocols for preparing routine biomolecular systems containing proteins, including both a globular protein in aqueous solvent and a transmembrane model peptide in a phospholipid bilayer. Details and example input files are provided for preparation of the simulation system using CHARMM, performing the simulations with OpenMM, and analyzing interesting dipole moment properties in CHARMM.

Indexed as

AlgorithmsLipid BilayersMembrane ProteinsMolecular Dynamics SimulationPeptidesSoftwareSolventsWaterLipid BilayersMembrane ProteinsPeptidesSolventsWaterDrude oscillatorInduced dipolesMembrane modelingMolecular dynamics simulationsPolarizable force fieldProtein modeling

Identifiers

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.