https://www.scienceopen.com/hosted-document?doi=10.15212/AMM-2026-0033
Announcing a new publication for
Acta Materia Medica journal. The assessment of a compound’s potential DNA reactivity (mutagenicity) is a critical component of its safety evaluation. The biological activity of a compound is generally understood to be closely associated with its chemical structure. Because computer-aided quantitative structure-activity relationship (QSAR) models can provide high-throughput and rapid evaluation of compounds, the development of robust computational prediction models has substantial practical value. The authors of this article developed the Decrypt Substance Toxicity (DSTOX) Mutagen Profiler software through a multi-strategy fusion approach. By integrating statistical rule-based models, expert knowledge rule-based models, analogue search, carcinogenicity data search, and International Council for Harmonisation (ICH) classification determination, the software generates mutagenicity assessment classification reports adhering to ICH M7 guidelines. Internal validation of the DSTOX statistical model indicated an accuracy of 92.0%. When combined with expert knowledge rule-based models and analogue cross-referencing, the DSTOX model exhibited robust mutagenicity prediction performance. External validation achieved an accuracy of 84.0% and a sensitivity (recall) of 82.8% for mutagenic compounds. The model’s performance metrics were generally comparable to those of current internationally recognized mainstream prediction tools.
# # # # # #
Acta Materia Medica welcomes the submission of research articles, review articles, databases, mini reviews, commentaries, editorials, short communications, case report articles and study protocols.
Submission Process
Submissions
to Acta Materia Medica are made using ScholarOne, the online submission and peer review system. Registration and access are available at
https://mc04.manuscriptcentral.com/ammed
Queries about the journal can be sent to
editorialoffice@amm-journal.org.
Please visit
https://amm-journal.org/ to learn more about the journal.
Editorial Board: https://amm-journal.org/index.php/editorial-board/
There are no author submission or article processing fees.
Follow
Acta Materia Medica on Twitter
https://twitter.com/AMM_journal;
Facebook (
https://www.facebook.com/AMMjournal)
eISSN 2737-7946
# # # # # #
Guo Yu, Tiantian Xu and Siyao Fan et al. Development and validation of DSTOX: an integrated QSAR platform adhering to ICH M7 guidelines for mutagenicity assessment of drug impurities.
Acta Materia Medica. 2026. Vol. 5(2):211-220. DOI: 10.15212/AMM-2026-0033