Evidence map›Paper›PMID 34874077›Full record

ArticleJournal of computational chemistry2022

CHARMM-GUI Drude prepper for molecular dynamics simulation using the classical Drude polarizable force field.

Abhishek A Kognole, Jumin Lee, Sang-Jun Park, Sunhwan Jo, Payal Chatterjee, Justin A Lemkul, Jing Huang, Alexander D MacKerell, Wonpil Im

Open access · greenAbstract read
In one paragraph

Article in Journal of computational chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Statistical Mechanical Theories of Membrane Permeability.The journal of physical chemistry. B · 2024
    Article
  10. Evaluating Polarizable Biomembrane Simulations against Experiments.Journal of chemical theory and computation · 2024
    Article
  11. Article
  12. Biomolecular dynamics in the 21st century.Biochimica et biophysica acta. General subjects · 2024
    Review
  13. Article
  14. pyCHARMM: Embedding CHARMM Functionality in a Python Framework.Journal of chemical theory and computation · 2023
    Article
  15. Article
  16. CHARMM-GUIJournal of chemical theory and computation · 2023
    Review
  17. Structures and Dynamics of DNA Mini-Dumbbells Are Force Field Dependent.Journal of chemical theory and computation · 2023
    Article
  18. Article
  19. Computer-Aided Drug Design: An Update.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  20. 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

9 authors at 5 institutions in 2 countries.

Abhishek A KognoleDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland, USA.ORCID 0000-0002-6033-2344
Jumin LeeDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania, USA.
Sang-Jun ParkDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania, USA.
Sunhwan JoLeadership Computing Facility, Argonne National Laboratory, Argonne, Illinois, USA.
Payal ChatterjeeDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland, USA.
Justin A LemkulDepartment of Biochemistry, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-6661-8653
Jing HuangKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Zhejiang, Hangzhou, China.ORCID 0000-0001-9639-2907
Alexander D MacKerellDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland, USA.ORCID 0000-0001-8287-6804
Wonpil ImDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania, USA.ORCID 0000-0001-5642-6041
Lehigh University · USUniversity of Maryland, Baltimore · USArgonne National Laboratory · USVirginia Tech · USWestlake University · CN

Funding

Macromolecular Conformational HeterogeneityR35GM131710 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ALEXANDER D MACKERELL · 2019 to 2026
$6.2M
Exploring Electronic Polarization in Biomolecular Folding and InteractionsR35GM133754 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Justin Alan Lemkul · 2019 to 2026
$2.2M
CHARMM-GUI Development for Biomolecular Modeling and Simulation CommunityR01GM138472 · NIGMS · LEHIGH UNIVERSITY · PI IM, WONPIL · 2020 to 2023
$1.5M
NIGMS NIH HHS R01 GM138472NIGMS NIH HHS R35 GM131710NIGMS NIH HHS R35 GM133754NIH HHS GM131710NIH HHS GM133754NIH HHS GM138472
6 · The paper itself

Abstract

Explicit treatment of electronic polarizability in empirical force fields (FFs) represents an extension over a traditional additive or pairwise FF and provides a more realistic model of the variations in electronic structure in condensed phase, macromolecular simulations. To facilitate utilization of the polarizable FF based on the classical Drude oscillator model, Drude Prepper has been developed in CHARMM-GUI. Drude Prepper ingests additive CHARMM protein structures file (PSF) and pre-equilibrated coordinates in CHARMM, PDB, or NAMD format, from which the molecular components of the system are identified. These include all residues and patches connecting those residues along with water, ions, and other solute molecules. This information is then used to construct the Drude FF-based PSF using molecular generation capabilities in CHARMM, followed by minimization and equilibration. In addition, inputs are generated for molecular dynamics (MD) simulations using CHARMM, GROMACS, NAMD, and OpenMM. Validation of the Drude Prepper protocol and inputs is performed through conversion and MD simulations of various heterogeneous systems that include proteins, nucleic acids, lipids, polysaccharides, and atomic ions using the aforementioned simulation packages. Stable simulations are obtained in all studied systems, including 5 μs simulation of ubiquitin, verifying the integrity of the generated Drude PSFs. In addition, the ability of the Drude FF to model variations in electronic structure is shown through dipole moment analysis in selected systems. The capabilities and availability of Drude Prepper in CHARMM-GUI is anticipated to greatly facilitate the application of the Drude FF to a range of condensed phase, macromolecular systems.

Indexed as

Molecular Dynamics SimulationSoftwarecarbohydratedipole momentDNAmembraneproteinprotein structure fileRNA

Identifiers

PMID34874077
PMCPMC8741736
OpenAlexW4200524940

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.