Evidence map›Paper›PMID 35778723›Full record

ArticleJournal of computational chemistry2022

Automation of AMOEBA polarizable force field for small molecules: Poltype 2.

Brandon Walker, Chengwen Liu, Elizabeth Wait, Pengyu Ren

Open access · greenAbstract read
In one paragraph

Article in Journal of computational chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
16.5field-weighted citation impact, top 1% of its field
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

29 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  6. Article
  7. Review
  8. Article
  9. The Q-AMOEBA (CF) Polarizable Potential.The journal of physical chemistry letters · 2025
    Article
  10. Review
  11. Article
  12. Binding free energy analysis of galectin-3 natural ligands and synthetic inhibitors.Protein science : a publication of the Protein Society · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

4 authors at 1 institution in 1 country.

Brandon WalkerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-2738-3844
Chengwen LiuDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Elizabeth WaitDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Pengyu RenDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.
The University of Texas at Austin · US

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
Cancer Prevention and Research Institute of Texas RP160657National Science Foundation CHE-1856173NIGMS NIH HHS R01 GM106137NIGMS NIH HHS R01 GM114237
6 · The paper itself

Abstract

A next-generation protocol (Poltype 2) has been developed which automatically generates AMOEBA polarizable force field parameters for small molecules. Both features and computational efficiency have been drastically improved. Notable advances include improved database transferability using SMILES, robust torsion fitting, non-aromatic ring torsion parameterization, coupled torsion-torsion parameterization, Van der Waals parameter refinement using ab initio dimer data and an intelligent fragmentation scheme that produces parameters with dramatically reduced ab initio computational cost. Additional improvements include better local frame assignment for atomic multipoles, automated formal charge assignment, Zwitterion detection, smart memory resource defaults, parallelized fragment job submission, incorporation of Psi4 quantum package, ab initio error handling, ionization state enumeration, hydration free energy prediction and binding free energy prediction. For validation, we have applied Poltype 2 to ~1000 FDA approved drug molecules from DrugBank. The ab initio molecular dipole moments and electrostatic potential values were compared with Poltype 2 derived AMOEBA counterparts. Parameters were further substantiated by calculating hydration free energy (HFE) on 40 small organic molecules and were compared with experimental data, resulting in an RMSE error of 0.59 kcal/mol. The torsion database has expanded to include 3543 fragments derived from FDA approved drugs. Poltype 2 provides a convenient utility for applications including binding free energy prediction for computational drug discovery. Further improvement will focus on automated parameter refinement by experimental liquid properties, expansion of the Van der Waals parameter database and automated parametrization of modified bio-fragments such as amino and nucleic acids.

Indexed as

AutomationPhysical PhenomenaStatic ElectricityThermodynamicsAMOEBA parametrizationautomation protocolfree energy predictionmolecular dynamicsPoltype

Identifiers

PMID35778723
PMCPMC9329217
OpenAlexW4283782023

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.