Evidence map›Paper›PMID 31002505›Full record

ArticleJournal of chemical theory and computation2019

Interactions of Water and Alkanes: Modifying Additive Force Fields to Account for Polarization Effects.

Andreas Krämer, Frank C Pickard, Jing Huang, Richard M Venable, Andrew C Simmonett, Dirk Reith, Karl N Kirschner, Richard W Pastor, Bernard R Brooks

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  9. A deep learning approach for the blind logP prediction in SAMPL6 challenge.Journal of computer-aided molecular design · 2020
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  13. Review
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.

Andreas KrämerLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.ORCID http://orcid.org/0000-0002-7699-3083
Frank C PickardLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.ORCID http://orcid.org/0000-0002-9608-3466
Jing HuangLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.
Richard M VenableLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.
Andrew C SimmonettLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.ORCID http://orcid.org/0000-0002-5921-9272
Dirk ReithInstitute of Technology, Resource and Energy-Efficient Engineering , Bonn-Rhein-Sieg University of Applied Sciences , Grantham-Allee 20 , 53757 Sankt Augustin , Germany.ORCID http://orcid.org/0000-0003-1480-6745
Karl N KirschnerInstitute of Technology, Resource and Energy-Efficient Engineering , Bonn-Rhein-Sieg University of Applied Sciences , Grantham-Allee 20 , 53757 Sankt Augustin , Germany.ORCID http://orcid.org/0000-0002-4581-920X
Richard W PastorLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.ORCID http://orcid.org/0000-0002-2454-5131
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung, and Blood Institute , National Institutes of Health , Bethesda , Maryland 20892 , United States.

Funding

Computer Simulations of Membranes and BiopolymersZIAHL000340 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI PASTOR, RICHARD WALTER · 2009 to 2025
$29.1M
Development Of Theoretical Methods For Studying Biological MacromoleculesZIAHL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$16.2M
Intramural NIH HHS Z99 HL999999
6 · The paper itself

Abstract

Atomistic biomolecular simulations predominantly utilize additive force fields (FF), where the electrostatic potential is modeled by fixed point charges. Among other consequences, the lack of polarizability in these models undermines the balance of hydrophilic/hydrophobic nonbonded interactions. Simulations of water/alkane systems using the TIP3P water model and CHARMM36 parameters reveal a 1 kcal/mol overestimate of the experimental transfer free energy of water to hexadecane; more recent optimized water models (SPC/E, TIP4P/2005, TIP4P-Ew, TIP3P-FB, TIP4P-FB, OPC, TIP4P-D) overestimate this transfer free energy by approximately 2 kcal/mol. In contrast, the polarizable SWM4-NDP and SWM6 water models reproduce experimental values to within statistical error. As an alternative to explicitly modeling polarizability, this paper develops an efficient automated workflow to optimize pair-specific Lennard-Jones parameters within an additive FF. Water/hexadecane is used as a prototype and the free energy of water transfer to hexadecane as a target. The optimized model yields quantitative agreement with the experimental transfer free energy and improves the water/hexadecane interfacial tension by 6%. Simulations of five different lipid bilayers show a strong increase of water permeabilities compared to the unmodified CHARMM36 lipid FF which consistently improves match with experiment: the order-of-magnitude underestimate for monounsaturated bilayers is rectified and the factor of 2.8-4 underestimate for saturated bilayers is turned into a factor of 1.5-3 overestimate. While agreement with experiment is decreased for the diffusion constant of water in hexadecane, alkane transfer free energies, and the bilayers' area per lipid, the method provides a permeant-specific route to achieve a wide range of heterogeneous observables via rapidly optimized pairwise parameters.

Identifiers

PMID31002505
PMCPMC6602074

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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.