Evidence map›Paper›PMID 24163642›Full record

ArticleJournal of chemical theory and computation2013

The Polarizable Atomic Multipole-based AMOEBA Force Field for Proteins.

Yue Shi, Zhen Xia, Jiajing Zhang, Robert Best, Chuanjie Wu, Jay W Ponder, Pengyu Ren

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 269 papers.

0numbers the graph read from it
0cells of the map it votes in
269citing 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

269 citing papers in PubMed.

  1. Article
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  9. Investigating the electrostatics underlying activation of the βBiochimica et biophysica acta. Biomembranes · 2026
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  12. Graph-Based Deep Learning Models for Predicting pJournal of chemical information and modeling · 2026
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  16. Tuning Polyacrylate Composition to Recognize and Modulate Fluorescent Proteins.Angewandte Chemie (International ed. in English) · 2026
    Article
  17. Article
  18. Review
  19. Review
  20. Article

209 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.

Yue ShiDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712.
Zhen Xia
Jiajing Zhang
Robert Best
Chuanjie Wu
Jay W Ponder
Pengyu Ren

Funding

Understanding protein folding, evolution and function via molecular simulationZIADK075104 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BEST, ROBERT · 2013 to 2025
$13.7M
DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Computational Drug Discovery with Polarizable Potential Eneergy FunctionR01GM079686 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI REN, PENGYU · 2007 to 2011
$1.1M
NIGMS NIH HHS R01 GM079686NIGMS NIH HHS R01 GM106137
6 · The paper itself

Abstract

Development of the AMOEBA (Atomic Multipole Optimized Energetics for Biomolecular Simulation) force field for proteins is presented. The current version (AMOEBA-2013) utilizes permanent electrostatic multipole moments through the quadrupole at each atom, and explicitly treats polarization effects in various chemical and physical environments. The atomic multipole electrostatic parameters for each amino acid residue type are derived from high-level gas phase quantum mechanical calculations via a consistent and extensible protocol. Molecular polarizability is modeled via a Thole-style damped interactive induction model based upon distributed atomic polarizabilities. Inter- and intramolecular polarization is treated in a consistent fashion via the Thole model. The intramolecular polarization model ensures transferability of electrostatic parameters among different conformations, as demonstrated by the agreement between QM and AMOEBA electrostatic potentials, and dipole moments of dipeptides. The backbone and side chain torsional parameters were determined by comparing to gas-phase QM (RI-TRIM MP2/CBS) conformational energies of dipeptides and to statistical distributions from the Protein Data Bank. Molecular dynamics simulations are reported for short peptides in explicit water to examine their conformational properties in solution. Overall the calculated conformational free energies and

Identifiers

PMID24163642
PMCPMC3806652

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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.