Related Experiment Video

Updated: Jun 13, 2026

Single Molecule Analysis of Laser Localized Psoralen Adducts
11:46

Single Molecule Analysis of Laser Localized Psoralen Adducts

Published on: April 20, 2017

MutAIverse: an AI-powered, mechanism-backed platform for discovering novel DNA adducts and their precursor genotoxins

Shiva Satija1, Sanjay Kumar Mohanty1, Sachin B Jorvekar2

  • 1Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi, 110020, India.

Journal of Cheminformatics
|June 12, 2026
PubMed

Insights

MutAIverse, an AI platform, enhances DNA adductomics by creating comprehensive libraries and enabling toxin identification. This advances cancer research and toxicology by improving the analysis of DNA damage from genotoxins.

Area of Science:

  • Toxicology
  • Computational Biology
  • Genetics

Background:

  • Genotoxin exposure causes DNA adducts, potentially leading to mutations.
  • Current DNA adductomics methods face limitations in library completeness, validation, and computational efficiency.

Purpose of the Study:

  • To introduce MutAIverse, an AI-driven platform for advanced DNA adductomics analysis.
  • To overcome limitations of existing platforms by creating comprehensive DNA adduct libraries and enabling interpretable retrograde tracking.

Main Methods:

  • Leveraging intracellular mechanistic modeling of genotoxin bioactivation to construct a DNA adduct library.
  • Integrating experimentally validated and chemically valid putative DNA adducts.
  • Developing advanced spectral mapping and retrograde tracking to parental genotoxins.

Main Results:

  • MutAIverse demonstrated detection of known and novel adducts when validated against experimental MS/MS datasets.
  • Application to patient data revealed selective enrichment of novel and known adducts in smokeless tobacco-induced head and neck cancer.
  • A subset of identified adducts was experimentally validated using MS/MS analysis.

Conclusions:

  • MutAIverse provides a robust, end-to-end, and interpretable platform for DNA adductomics.
  • The platform significantly advances the field by offering superior coverage and validation compared to existing spectral libraries.
  • MutAIverse is a valuable tool for toxicology and cancer research, enabling deeper understanding of DNA damage.
Keywords:
AIDNA adductsDNA damageDeep learningGenerative AIMutationsToxicology

More Related Videos

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)10:05

Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC (Crosslinking of Small Molecules to Isolate Chromatin)

Published on: January 20, 2016

Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
In vitro Mutagenesis01:16

In vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
In-vitro Mutagenesis01:16

In-vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
Mutagenicity and Carcinogenicity01:25

Mutagenicity and Carcinogenicity

Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...