Evidence map›Paper›PMID 34205577›Full record

ArticleInternational journal of molecular sciences2021

Recent Developments on gMicroMC: Transport Simulations of Proton and Heavy Ions and Concurrent Transport of Radicals and DNA.

Youfang Lai, Xun Jia, Yujie Chi

Open access · goldAbstract readValidation Study
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Review
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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

3 authors at 2 institutions in 1 country.

Youfang LaiDepartment of Physics, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-6940-9646
Xun JiaInnovative Technology of Radiotherapy Computation and Hardware (iTORCH) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75287, USA.
Yujie ChiDepartment of Physics, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0002-1828-3251
The University of Texas at Arlington · USThe University of Texas Southwestern Medical Center · US

Funding

Next generation small animal radiation research platformR37CA214639 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2018 to 2024
$3.8M
Development of the next-generation GPU-based Monte Carlo simulation platform for radiation-induced DNA damage calculationsR15CA256668 · NCI · UNIVERSITY OF TEXAS ARLINGTON · PI CHI, YUJIE · 2021 to 2021
$447k
Cancer Prevention and Research Institute of Texas RP160661NCI NIH HHS R15 CA256668NCI NIH HHS R37 CA214639NIH HHS R15CA256668NIH HHS R37CA214639
6 · The paper itself

Abstract

Mechanistic Monte Carlo (MC) simulation of radiation interaction with water and DNA is important for the understanding of biological responses induced by ionizing radiation. In our previous work, we employed the Graphical Processing Unit (GPU)-based parallel computing technique to develop a novel, highly efficient, and open-source MC simulation tool, gMicroMC, for simulating electron-induced DNA damages. In this work, we reported two new developments in gMicroMC: the transport simulation of protons and heavy ions and the concurrent transport of radicals in the presence of DNA. We modeled these transports based on electromagnetic interactions between charged particles and water molecules and the chemical reactions between radicals and DNA molecules. Various physical properties, such as Linear Energy Transfer (LET) and particle range, from our simulation agreed with data published by NIST or simulation results from other CPU-based MC packages. The simulation results of DNA damage under the concurrent transport of radicals and DNA agreed with those from nBio-Topas simulation in a comprehensive testing case. GPU parallel computing enabled high computational efficiency. It took 41 s to simultaneously transport 100 protons with an initial kinetic energy of 10 MeV in water and 470 s to transport 105 radicals up to 1 µs in the presence of DNA.

Indexed as

DNA DamageHeavy IonsModels, ChemicalProtonsRadiation, IonizingMonte Carlo MethodProtonsDNA damageGPU programmingMonte Carlo simulationproton transport

Identifiers

PMID34205577
PMCPMC8233829
OpenAlexW3176180799

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.