Evidence map›Paper›PMID 29096511›Full record

ArticleThe Journal of chemical physics2017

Mapping the Drude polarizable force field onto a multipole and induced dipole model.

Jing Huang, Andrew C Simmonett, Frank C Pickard, Alexander D MacKerell, Bernard R Brooks

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. A Fast, Convenient, Polarizable Electrostatic Model for Molecular Dynamics.Journal of chemical theory and computation · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Atomic Polarizabilities for Interactive Dipole Induction Models.Journal of chemical information and modeling · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Force Fields for Small Molecules.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  17. Article
  18. Article
  19. Review
  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

5 authors.

Jing HuangDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn St., Baltimore, Maryland 21201, USA.ORCID 0000000196392907
Andrew C SimmonettLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, 5635 Fishers Lane, Rockville, Maryland 20852, USA.ORCID 0000000259219272
Frank C PickardLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, 5635 Fishers Lane, Rockville, Maryland 20852, USA.ORCID 0000000296083466
Alexander D MacKerellDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn St., Baltimore, Maryland 21201, USA.
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, 5635 Fishers Lane, Rockville, Maryland 20852, USA.

Funding

Development Of Theoretical Methods For Studying Biological MacromoleculesZIAHL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$16.2M
Polarizable Force Field for Proteins and LipidsR01GM072558 · NIGMS · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI ROUX, BENOIT · 2005 to 2023
$5.1M
Oligonucleotide Conformational HeterogeneityR01GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D · 2003 to 2018
$3.6M
Theoretical Methods to Study Biological MacromoleculesZ01HL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 1998 to 2008
$1.4M
HALOGEN FREE ENERGY DATABASE FOR RATIONAL DRUG DESIGNR29GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D. · 1996 to 2000
$108k
Intramural NIH HHS Z01 HL001051NIGMS NIH HHS R01 GM051501NIGMS NIH HHS R01 GM072558NIGMS NIH HHS R29 GM051501
6 · The paper itself

Abstract

The induced dipole and the classical Drude oscillator represent two major approaches for the explicit inclusion of electronic polarizability into force field-based molecular modeling and simulations. In this work, we explore the equivalency of these two models by comparing condensed phase properties computed using the Drude force field and a multipole and induced dipole (MPID) model. Presented is an approach to map the electrostatic model optimized in the context of the Drude force field onto the MPID model. Condensed phase simulations on water and 15 small model compounds show that without any reparametrization, the MPID model yields properties similar to the Drude force field with both models yielding satisfactory reproduction of a range of experimental values and quantum mechanical data. Our results illustrate that the Drude oscillator model and the point induced dipole model are different representations of essentially the same physical model. However, results indicate the presence of small differences between the use of atomic multipoles and off-center charge sites. Additionally, results on the use of dispersion particle mesh Ewald further support its utility for treating long-range Lennard Jones dispersion contributions in the context of polarizable force fields. The main motivation in demonstrating the transferability of parameters between the Drude and MPID models is that the more than 15 years of development of the Drude polarizable force field can now be used with MPID formalism without the need for dual-thermostat integrators nor self-consistent iterations. This opens up a wide range of new methodological opportunities for polarizable models.

Identifiers

PMID29096511
PMCPMC5459616

What OpenQuestion holds

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Registered trials

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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.