Evidence map›Paper›PMID 27901142›Full record

ArticlePhysical chemistry chemical physics : PCCP2016

An optimized charge penetration model for use with the AMOEBA force field.

Joshua A Rackers, Qiantao Wang, Chengwen Liu, Jean-Philip Piquemal, Pengyu Ren, Jay W Ponder

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Revisiting the Hunter-Sanders Model for π-π Interactions.Journal of the American Chemical Society · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Energetic Origins of Pi-Pi Contacts in Proteins.Journal of the American Chemical Society · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Polarizable Water Potential Derived from a Model Electron Density.Journal of chemical theory and computation · 2021
    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

6 authors.

Joshua A RackersProgram in Computational & Molecular Biophysics, Washington University, School of Medicine, Saint Louis, Missouri 63110, USA.
Qiantao WangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
Chengwen LiuDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
Jean-Philip PiquemalLaboratoire de Chimie Théorique, Sorbonne Universités, UPMC Paris 06, UMR 7616, case courrier 137, 4 place Jussieu, F-75005, Paris, France.
Pengyu RenDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
Jay W PonderDepartment of Chemistry, Washington University in Saint Louis, Saint Louis, Missouri 63130, USA. ponder@dasher.wustl.edu.ORCID http://orcid.org/0000-0001-5450-9230

Funding

DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Specificity and Selectivity in Protein-Ion BindingR01GM114237 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI PONDER, JAY, REN, PENGYU · 2015 to 2023
$2.6M
NIGMS NIH HHS R01 GM106137NIGMS NIH HHS R01 GM114237
6 · The paper itself

Abstract

The principal challenge of using classical physics to model biomolecular interactions is capturing the nature of short-range interactions that drive biological processes from nucleic acid base stacking to protein-ligand binding. In particular most classical force fields suffer from an error in their electrostatic models that arises from an ability to account for the overlap between charge distributions occurring when molecules get close to each other, known as charge penetration. In this work we present a simple, physically motivated model for including charge penetration in the AMOEBA (Atomic Multipole Optimized Energetics for Biomolecular Applications) force field. With a function derived from the charge distribution of a hydrogen-like atom and a limited number of parameters, our charge penetration model dramatically improves the description of electrostatics at short range. On a database of 101 biomolecular dimers, the charge penetration model brings the error in the electrostatic interaction energy relative to the ab initio SAPT electrostatic interaction energy from 13.4 kcal mol

Identifiers

PMID27901142
PMCPMC5177509

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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.