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Aquatic Toxicology (Amsterdam, Netherlands)|June 12, 2025
Quantitative read-across structure-property relationship (q-RASPR)-based lipid-normalized dietary biomagnification (BMFL) prediction: A framework for evaluating biomagnification potential of organic chemicals in the aquatic ecosystemShubham Kumar Pandey, Kunal RoyThe Science of the Total Environment|September 3, 2025
Assessing biodegradability potential of organic chemicals in aquatic and soil environment through classification-based machine learning models developed in accordance with OECD standardsShubham Kumar Pandey, Souvik Pore, Kunal RoyThe Science of the Total Environment|December 30, 2025
HydroFate - A machine learning-based classification modeling platform for the prediction of hydrolytic stability of organic chemicals across different pH environmentsShubham Kumar Pandey, Souvik Pore, Kunal RoyChemical Biology & Drug Design|October 15, 2020
Artificial intelligence and machine learning for protein toxicity prediction using proteomics dataShubham Vishnoi, Himani Matre, Prabha Garg, et al.ACS Omega|June 1, 2026
Leveraging Neural Networks to Correct FoldX Free Energy EstimatesJonathan E Barnes, L América Chi, Shubham Kumar Pandey, et al.Biorxiv : the Preprint Server for Biology|October 10, 2024
Molecular Mechanisms Underlying the Spectral Shift in Zebrafish Cone OpsinsL América Chi, Shubham Kumar Pandey, Wojciech Kolodziejczyk, et al.Applied and Environmental Microbiology|June 27, 2024
Enhanced catabolism of glycine betaine and derivatives provides improved osmotic stress protection in Methylorubrum extorquens PA1Eric L Bruger, Zachary T Hying, Deepanshu Singla, et al.Pageof 1