Evidence map›Paper›PMID 31518010›Full record

ArticleJournal of computational chemistry2020

Improved Modeling of Cation-π and Anion-Ring Interactions Using the Drude Polarizable Empirical Force Field for Proteins.

Fang-Yu Lin, Alexander D MacKerell

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Electronic Polarizability Tunes the Function of the Human Bestrophin 1 ClJournal of chemical theory and computation · 2025
    Article
  4. Review
  5. Electronic Polarizability Tunes the Function of the Human Bestrophin 1 ClbioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Journal of chemical theory and computation · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Explicit Representation of Cation-π Interactions in Force Fields with 1/Journal of chemical theory and computation · 2020
    Article
  14. Article
  15. Article
  16. 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

2 authors.

Fang-Yu LinComputer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland, 21201.
Alexander D MacKerellComputer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland, 21201.ORCID 0000-0001-8287-6804

Funding

Macromolecular Conformational HeterogeneityR35GM131710 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ALEXANDER D MACKERELL · 2019 to 2026
$6.2M
NIGMS NIH HHS R35 GM131710
6 · The paper itself

Abstract

Cation-π interactions are noncovalent interactions between a π-electron system and a positively charged ion that are regarded as a strong noncovalent interaction and are ubiquitous in biological systems. Similarly, though less studied, anion-ring interactions are present in proteins along with in-plane interactions of anions with aromatic rings. As these interactions are between a polarizing ion and a polarizable π system, the accuracy of the treatment of these interactions in molecular dynamics (MD) simulations using additive force fields (FFs) may be limited. In the present work, to allow for a better description of ion-π interactions in proteins in the Drude-2013 protein polarizable FF, we systematically optimized the parameters for these interactions targeting model compound quantum mechanical (QM) interaction energies with atom pair-specific Lennard-Jones parameters along with virtual particles as selected ring centroids introduced to target the QM interaction energies and geometries. Subsequently, MD simulations were performed on a series of protein structures where ion-π pairs occur to evaluate the optimized parameters in the context of the Drude-2013 FF. The resulting FF leads to a significant improvement in reproducing the ion-π pair distances observed in experimental protein structures, as well as a smaller root-mean-square differences and fluctuations of the overall protein structures from experimental structures. Accordingly, the optimized Drude-2013 protein polarizable FF is suggested for use in MD simulations of proteins where cation-π and anion-ring interactions are critical. © 2019 Wiley Periodicals, Inc.

Indexed as

Molecular Dynamics SimulationAnionsCationsProteinsQuantum TheoryAnionsCationsProteinsCHARMMmolecular dynamicsnoncovalent interactionspolarizable force fieldquantum mechanics

Identifiers

PMID31518010
PMCPMC7322827

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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.