MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxins
Rattachement africain : in. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflows are limited by incomplete spectral libraries, reliance on experimentally validated adducts, limited cellular contexts, and inefficient computational methodologies. We introduce MutAIverse, an advanced AI-driven DNA adductomics analysis platform that overcomes these limitations by leveraging intracellular mechanistic modeling of genotoxin bioactivation to construct a comprehensive DNA adduct library and offers advanced spectral mapping. MutAIverse integrates experimentally validated and chemically valid putative DNA adducts, enabling interpretable retrograde tracking to parental genotoxins. Validation of MutAIverse against experimental MS/MS datasets demonstrated the detection of both known and novel adducts. Furthermore, application to in-house generated DNA adductomics data from tissue biopsies of smokeless tobacco-induced head and neck cancer patients revealed selective enrichment of both novel and known DNA adducts; a subset of them was validated using MS/MS analysis. Collectively, MutAIverse provides a robust, end-to-end, and interpretable platform for advanced DNA adductomics analysis.Scientific ContributionThis study introduces MutAIverse, a generative AI‑powered platform that constructs a comprehensive, mechanism‑backed DNA adduct library from genotoxin metabolism simulations, enables interpretable retrograde tracing to parental genotoxins, and provides an end‑to‑end analytical workflow. By outperforming existing spectral libraries in coverage and experimental validation across multiple datasets, MutAIverse offers a robust tool for advancing DNA adductomics in toxicology and cancer research.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxins
- Date Crossref
- 11/06/2026
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Indraprastha Institute of Information Technology Delhi pays non établi dans la noticeUniversité ou école supérieure
-
National Institute of Pharmaceutical Education and Research pays non établi dans la noticeUniversité ou école supérieure
-
Institute of Genomics and Integrative Biology pays non établi dans la noticeStructure de recherche
-
Bhubaneswar Borooah Cancer Institute pays non établi dans la noticeÉtablissement de santé
-
Rajiv Gandhi Cancer Institute and Research Centre pays non établi dans la noticeÉtablissement de santé
-
Indian Institute of Technology Delhi pays non établi dans la noticeUniversité ou école supérieure
-
Rajiv Gandhi Cancer Institute & Research Centre pays non établi dans la noticeStructure de recherche
Indraprastha Institute of Information Technology Delhi, National Institute of Pharmaceutical Education and Research et Institute of Genomics and Integrative Biology, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.