Evidence map›Paper›PMID 36563337›Full record

ArticleJournal of chemical theory and computation2023

Quantum Free Energy Profiles for Molecular Proton Transfers.

Aran Lamaire, Maarten Cools-Ceuppens, Massimo Bocus, Toon Verstraelen, Veronique Van Speybroeck

Open access · bronzeAbstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Aran LamaireCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, 9052Zwijnaarde, Belgium.ORCID 0000-0003-0093-5490
Maarten Cools-CeuppensCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, 9052Zwijnaarde, Belgium.ORCID 0000-0002-7363-7534
Massimo BocusCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, 9052Zwijnaarde, Belgium.ORCID 0000-0001-9474-6644
Toon VerstraelenCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, 9052Zwijnaarde, Belgium.ORCID 0000-0001-9288-5608
Veronique Van SpeybroeckCenter for Molecular Modeling (CMM), Ghent University, Technologiepark 46, 9052Zwijnaarde, Belgium.ORCID 0000-0003-2206-178X
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although many molecular dynamics simulations treat the atomic nuclei as classical particles, an adequate description of nuclear quantum effects (NQEs) is indispensable when studying proton transfer reactions. Herein, quantum free energy profiles are constructed for three typical proton transfers, which properly take NQEs into account using the path integral formalism. The computational cost of the simulations is kept tractable by deriving machine learning potentials. It is shown that the classical and quasi-classical centroid free energy profiles of the proton transfers deviate substantially from the exact quantum free energy profile.

Indexed as

Molecular Dynamics SimulationProtonsProtons

Identifiers

PMID36563337
PMCPMC9835831
OpenAlexW4312110792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.