Evidence map›Paper›PMID 35460102›Full record

ArticleJournal of computational chemistry2022

TUPÃ: Electric field analyses for molecular simulations.

Marcelo D Polêto, Justin A Lemkul

Abstract 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Oriented Electric Fields─Universal Catalysts.Accounts of chemical research · 2025
    Article
  8. Article
  9. Article
  10. Review
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  12. Article
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  18. Article
  19. NiScientific reports · 2023
    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.

Marcelo D PolêtoDepartment of Biochemistry, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-9210-690X
Justin A LemkulDepartment of Biochemistry, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0001-6661-8653

Funding

Exploring Electronic Polarization in Biomolecular Folding and InteractionsR35GM133754 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Justin Alan Lemkul · 2019 to 2026
$2.2M
National Institute of Food and Agriculture VA-160092NIGMS NIH HHS R35 GM133754
6 · The paper itself

Abstract

We introduce TUPÃ, a Python-based algorithm to calculate and analyze electric fields in molecular simulations. To demonstrate the features in TUPÃ, we present three test cases in which the orientation and magnitude of the electric field exerted by biomolecules help explain biological phenomena or observed kinetics. As part of TUPÃ, we also provide a PyMOL plugin to help researchers visualize how electric fields are organized within the simulation system. The code is freely available and can be obtained at https://mdpoleto.github.io/tupa/.

Indexed as

ElectricityMolecular Dynamics SimulationKineticselectric fieldelectrostaticsforce fieldsmolecular dynamicsmolecular mechanics

Identifiers

PMID35460102
PMCPMC9098685

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.