Evidence map›Paper›PMID 30347691›Full record

ArticleMolecules (Basel, Switzerland)2018

A Comparison of QM/MM Simulations with and without the Drude Oscillator Model Based on Hydration Free Energies of Simple Solutes.

Gerhard König, Frank C Pickard, Jing Huang, Walter Thiel, Alexander D MacKerell, Bernard R Brooks, Darrin M York

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Quantum-Centric Alchemical Free Energy Calculations.Journal of chemical theory and computation · 2026
    Article
  3. Article
  4. Article
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  7. Article
  8. A Many-Body, Fully Polarizable Approach to QM/MM Simulations.Journal of chemical theory and computation · 2020
    Article
  9. Article
  10. Article
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  13. Article
  14. Use of Interaction Energies in QM/MM Free Energy Simulations.Journal of chemical theory and computation · 2019
    Article
  15. 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

7 authors at 4 institutions in 3 countries.

Gerhard KönigLaboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA. gerhard.koenig@rutgers.edu.ORCID 0000-0003-4898-2958
Frank C PickardLaboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA. pickard81@gmail.com.ORCID 0000-0002-9608-3466
Jing HuangLaboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA. jing.huang.ff@gmail.com.ORCID 0000-0001-9639-2907
Walter ThielMax-Planck-Institut für Kohlenforschung, 45470 Mülheim an der Ruhr, Germany. thiel@mpi-muelheim.mpg.de.ORCID 0000-0001-6780-0350
Alexander D MacKerellDepartment of Pharmaceutical Science, School of Pharmacy, University of Maryland, 20 Penn Street, Baltimore, MD 21201, USA. alex@outerbanks.umaryland.edu.ORCID 0000-0001-8287-6804
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA. brb@nhlbi.nih.gov.
Darrin M YorkLaboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, NJ 08854, USA. darrin.york@rutgers.edu.
National Institutes of Health · USRutgers, The State University of New Jersey · USUniversity of Maryland, Baltimore · USMax-Planck-Institut für Kohlenforschung · DE

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
Next-generation integrated quantum force fields for biomedical applicationsR01GM107485 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI Darrin M York · 2015 to 2026
$3.8M
Oligonucleotide Conformational HeterogeneityR01GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D · 2003 to 2018
$3.6M
National Institutes of Health GM107485,GM070855,GM072558,GM051501NIGMS NIH HHS R01 GM051501NIGMS NIH HHS R01 GM072558NIGMS NIH HHS R01 GM107485
6 · The paper itself

Abstract

Maintaining a proper balance between specific intermolecular interactions and non-specific solvent interactions is of critical importance in molecular simulations, especially when predicting binding affinities or reaction rates in the condensed phase. The most rigorous metric for characterizing solvent affinity are solvation free energies, which correspond to a transfer from the gas phase into solution. Due to the drastic change of the electrostatic environment during this process, it is also a stringent test of polarization response in the model. Here, we employ both the CHARMM fixed charge and polarizable force fields to predict hydration free energies of twelve simple solutes. The resulting classical ensembles are then reweighted to obtain QM/MM hydration free energies using a variety of QM methods, including MP2, Hartree⁻Fock, density functional methods (BLYP, B3LYP, M06-2X) and semi-empirical methods (OM2 and AM1 ). Our simulations test the compatibility of quantum-mechanical methods with molecular-mechanical water models and solute Lennard⁻Jones parameters. In all cases, the resulting QM/MM hydration free energies were inferior to purely classical results, with the QM/MM Drude force field predictions being only marginally better than the QM/MM fixed charge results. In addition, the QM/MM results for different quantum methods are highly divergent, with almost inverted trends for polarizable and fixed charge water models. While this does not necessarily imply deficiencies in the QM models themselves, it underscores the need to develop consistent and balanced QM/MM interactions. Both the QM and the MM component of a QM/MM simulation have to match, in order to avoid artifacts due to biased solute⁻solvent interactions. Finally, we discuss strategies to improve the convergence and efficiency of multi-scale free energy simulations by automatically adapting the molecular-mechanics force field to the target quantum method.

Indexed as

EntropyThermodynamicsMolecular Dynamics SimulationSolutionsSolventsStatic ElectricityWaterSolutionsSolventsWaterhydration free energypolarizationQM/MM

Identifiers

PMID30347691
PMCPMC6222909
OpenAlexW2896588574

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.