Evidence map›Paper›PMID 37298351›Full record

ArticleInternational journal of molecular sciences2023

TRAX-CHEMxt: Towards the Homogeneous Chemical Stage of Radiation Damage.

Gianmarco Camazzola, Daria Boscolo, Emanuele Scifoni, Alexander Dorn, Marco Durante, Michael Krämer, Valentino Abram, Martina C Fuss

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

8 authors.

Gianmarco CamazzolaBiophysics Department, GSI Helmholtz Centre for Heavy Ion Research GmbH, 64291 Darmstadt, Germany.ORCID 0000-0002-8204-7763
Daria BoscoloBiophysics Department, GSI Helmholtz Centre for Heavy Ion Research GmbH, 64291 Darmstadt, Germany.ORCID 0000-0001-5709-4472
Emanuele ScifoniTrento Institute for Fundamental Physics and Applications (TIFPA), National Institute for Nuclear Physics (INFN), 38123 Povo, Italy.ORCID 0000-0003-1851-5152
Alexander DornQuantum Dynamics and Control Division, Max Planck Institute for Nuclear Physics, 69117 Heidelberg, Germany.ORCID 0000-0002-8024-224X
Marco DuranteBiophysics Department, GSI Helmholtz Centre for Heavy Ion Research GmbH, 64291 Darmstadt, Germany.ORCID 0000-0002-4615-553X
Michael KrämerBiophysics Department, GSI Helmholtz Centre for Heavy Ion Research GmbH, 64291 Darmstadt, Germany.
Valentino AbramDepartment of Mathematics, University of Trento, 38123 Povo, Italy.ORCID 0000-0002-3144-2317
Martina C FussBiophysics Department, GSI Helmholtz Centre for Heavy Ion Research GmbH, 64291 Darmstadt, Germany.ORCID 0000-0001-5332-6491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indirect effect of radiation plays an important role in radio-induced biological damages. Monte Carlo codes have been widely used in recent years to study the chemical evolution of particle tracks. However, due to the large computational efforts required, their applicability is typically limited to simulations in pure water targets and to temporal scales up to the µs. In this work, a new extension of TRAX-CHEM is presented, namely TRAX-CHEMxt, able to predict the chemical yields at longer times, with the capability of exploring the homogeneous biochemical stage. Based on the species coordinates produced around one track, the set of reaction-diffusion equations is solved numerically with a computationally light approach based on concentration distributions. In the overlapping time scale (500 ns-1 µs), a very good agreement to standard TRAX-CHEM is found, with deviations below 6% for different beam qualities and oxygenations. Moreover, an improvement in the computational speed by more than three orders of magnitude is achieved. The results of this work are also compared with those from another Monte Carlo-based algorithm and a fully homogeneous code (Kinetiscope). TRAX-CHEMxt will allow for studying the variation in chemical endpoints at longer timescales with the introduction, as the next step, of biomolecules, for more realistic assessments of biological response under different radiation and environmental conditions.

Indexed as

AlgorithmsComputer SimulationDiffusionMonte Carlo Methodchemical track structurehomogeneous biochemical stageradical/molecule yieldsreaction–diffusion equations

Identifiers

PMID37298351
PMCPMC10253526

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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.