Evidence map›Paper›PMID 41821067›Full record

ArticleGenes and environment : the official journal of the Japanese Environmental Mutagen Society2026

Potential for Computational Genotoxicity: A Report on Symposium 3 of the 53rd Annual Meeting of the Japanese Environmental Mutagen and Genome Society (JEMS), 2024.

Naoki Koyama, Ayako Furuhama, Naomi L Kruhlak, Nicolas Ken Shinada, Kazuki Izawa

Abstract read
In one paragraph

Article in Genes and environment : the official journal of the Japanese Environmental Mutagen Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Naoki Koyama *Safety and Bioscience Research Department, Translational Research Division, Chugai Pharmaceutical Co., Ltd, 216 Totsuka-cho, Totsuka-ku, Yokohama, Kanagawa, 244-8602, Japan. koyama.naoki21@chugai-pharm.co.jp.
Ayako Furuhama *Division of Genome Safety Science, National Institute of Health Sciences (NIHS), 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki City, Kanagawa, 210-9501, Japan.
Naomi L KruhlakCenter for Drug Evaluation and Research, US Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD, 20993-0002, USA.
Nicolas Ken ShinadaSBX Corporation, 5 Chome-10-25 Higashi Gotanda, Shinagawa City, Tokyo, 141- 0022, Japan.
Kazuki IzawaDivision of Genome Safety Science, National Institute of Health Sciences (NIHS), 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki City, Kanagawa, 210-9501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symposium 3 of the 53rd Annual Meeting of the Japanese Environmental Mutagen and Genome Society (JEMS), entitled "Potential for Computational Genotoxicity," was held at Shujitsu University, Okayama, Japan, on December 8, 2024. The symposium discussed the application of advanced informatics technologies, such as (quantitative) structure-activity relationship ((Q)SAR) and error-corrected next-generation sequencing (ecNGS), to the field of genotoxicity within the framework of computational genotoxicity. In this symposium, we invited three scientists who are global leaders in the field of computational genotoxicity. This report summarizes the key discussions and presentations from the symposium. The organizers hope this summary will increase awareness of computational genotoxicity.

Indexed as

AICarcinogenesisComputational genotoxicityCPCADomain knowledgeecNGSGenotoxicity predictionHazard identification(Q)SARRegulatory application

Identifiers

PMID41821067
PMCPMC12980948

What Socratic 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 Socratic graph.