Development of Machine Learning‐Based Models for Mutagenicity Predictions with Applications to Non‐Sugar Sweeteners Machine learning models are developed for the mutagenic potential of organic compounds and applied to predict non-sugar sweeteners.

🔬 Ghosh, Kumar & Roy (2025) built ML models to predict mutagenicity of non-sugar sweeteners, using alvaDesc to generate molecular descriptors.

📄 Paper: doi.org/10.1002/minf...
🔗 alvaDesc: alvascience.com/alvadesc/

#alvaDesc #QSAR #Mutagenicity #Cheminformatics #MachineLearning #chemsky

OECD published 56 new, updated or corrected test guidelines, covering; mammalian #toxicity & #ecotoxicity, and #environmentalfate.

Learn more >> www.bluefrogscientific.com/c...

#Immunotoxicity #Mutagenicity #EndocrineDisruption #DART #RegulatoryCompliance #ChemicalRegulation

@igcpharma.bsky.social presented new genetic safety data at the #2025GeneticToxicologyAssociationMeeting on our GLP-compliant study for IGC-AD1. No evidence of #mutagenicity was found, meeting #FDA standards as we move toward larger
#clinicaltrials.

#Alzheimers #drug #treatment

Model: Mutagenicity against Salmonella typhimurium - Alvascience Model: Mutagenicity against Salmonella typhimurium In the paper "Krishna, G., Khan, K., & Roy, K. (2020). Application of QSARs in identification of mutagenicity mechanisms of nitro and amino aromatic

🧬 Predict TA98 Mutagenicity with QSAR

Our Ames test-based QSAR model helps identify mutagenic compounds in S. typhimurium TA98.

✅ Built with alvaDesc descriptors
✅ Run in alvaRunner for fast predictions

🔗 www.alvascience.com/model-mutage...

#QSAR #Mutagenicity #AmesTest #Toxicology #Alvascience