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

TL;DR
This report summarizes a symposium on using computational methods to assess genotoxicity, highlighting technologies like QSAR and ecNGS.
Contribution
The report introduces the concept of computational genotoxicity and its potential through expert discussions.
Findings
Advanced informatics technologies like (Q)SAR and ecNGS are being applied to genotoxicity assessment.
Three global leaders in computational genotoxicity presented at the symposium.
The summary aims to raise awareness about the field of computational genotoxicity.
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.
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Taxonomy
TopicsCarcinogens and Genotoxicity Assessment · Gene expression and cancer classification · Computational Drug Discovery Methods
