Evidence map›Paper›PMID 30916997›Full record

ReviewAnnual review of biophysics2019

Polarizable Force Fields for Biomolecular Simulations: Recent Advances and Applications.

Zhifeng Jing, Chengwen Liu, Sara Y Cheng, Rui Qi, Brandon D Walker, Jean-Philip Piquemal, Pengyu Ren

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing 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

155 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Atomistic Simulations of Fe(CO)The journal of physical chemistry. C, Nanomaterials and interfaces · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Graph-Based Deep Learning Models for Predicting pJournal of chemical information and modeling · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Force fields matter in DNA polProtein science : a publication of the Protein Society · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. STIM1 transmembrane helix dimerization captured by AI-guided transition path sampling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Article
  20. The Q-AMOEBA (CF) Polarizable Potential.The journal of physical chemistry letters · 2025
    Article

95 more citing papers are in PubMed but not listed here.

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.

Zhifeng JingDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.
Chengwen LiuDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.
Sara Y ChengDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.
Rui QiDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.
Brandon D WalkerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.
Jean-Philip PiquemalDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.
Pengyu RenDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA; email: pren@mail.utexas.edu.

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

Realistic modeling of biomolecular systems requires an accurate treatment of electrostatics, including electronic polarization. Due to recent advances in physical models, simulation algorithms, and computing hardware, biomolecular simulations with advanced force fields at biologically relevant timescales are becoming increasingly promising. These advancements have not only led to new biophysical insights but also afforded opportunities to advance our understanding of fundamental intermolecular forces. This article describes the recent advances and applications, as well as future directions, of polarizable force fields in biomolecular simulations.

Indexed as

Molecular Dynamics SimulationStatic ElectricityAlgorithmsPhysical Phenomenamolecular dynamics simulationnucleic acidpolarizable force fieldproteinQM/MM

Identifiers

PMID30916997
PMCPMC6520134

What OpenQuestion holds

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Registered trials

None linked

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.