Prachi Pradeep

Federal Institute for Risk Assessment — Germany

Computer Science · Physical Sciences

16h-index791citations46works5.32yr avg
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Research Topics

Computational Drug Discovery Methods(26), Effects and risks of endocrine disrupting chemicals(13), Animal testing and alternatives(9), Carcinogens and Genotoxicity Assessment(6), Toxic Organic Pollutants Impact(4)

Publications46 total

Collaborative evaluation of in silico predictions for high throughput toxicokinetics
Toxicology in Vitro·2025
P30-38 Towards phasing out acute toxicity in vivo testing in EU chemical safety assessments
Toxicology Letters·2025Open Access
Applicability of In Silico New Approach Methods for the Risk Assessment of Tattoo Ink Ingredients
Environmental and Molecular Mutagenesis·2025· 1 citedOpen Access
NAM-based Assessment to Classify Chemicals for Systemic Toxicity Effect
OpenAgrar·2025
Towards phasing out acute toxicity in vivo testing in EU chemical safety assessments
OpenAgrar·2025
Determining species-specific half-lives for all 209 PCB congeners through a Bayesian hierarchical framework and QSAR modeling
OpenAgrar·2025
AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability
Frontiers in Toxicology·2024· 52 citedOpen Access
Applicability of In Silico New Approach Methods for the Risk Assessment of Tattoo Ink Ingredients
2024Open Access
New Approach Methods for Regulatory Risk Assessment of Azo Dyes in Textiles
OpenAgrar·2024
Design of a Predictor Model for Feature Selection using Machine Learning Approaches
Journal of Electrical Systems·2024Open Access
S23-04: Making quantitative AOP Networks into Usable Tools for Risk Assessment
Toxicology Letters·2023
P22-26: New Approach Methods for Regulatory Risk Assessment of Azo Dyes in Textiles
Toxicology Letters·2023
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species
Toxics·2023· 45 citedOpen Access
Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite
Environmental Health Perspectives·2021· 29 citedOpen Access
Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity
Computational Toxicology·2021· 6 citedOpen Access
Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite
Environmental Health Perspectives·2021· 6 citedOpen Access
CATMoS: Collaborative Acute Toxicity Modeling Suite
Environmental Health Perspectives·2021· 129 citedOpen Access
An evaluation of existing QSAR models and structural alerts and development of new ensemble models for genotoxicity using a newly compiled experimental dataset
Computational Toxicology·2021· 29 citedOpen Access
A quantitative structure-activity relationship (QSAR) model to estimate half-lives of perfluoro-alkyl substances (PFAS) in multiple species
Figshare·2021Open Access
Integrating endocrine-related health effects into comparative human toxicity characterization
The Science of The Total Environment·2020· 14 cited
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Frequent Co-authors

Grace Patlewicz(17), Richard Judson(17), Kamel Mansouri(8), Stephen J. Merrill(6), John F. Wambaugh(6), Ralph Pirow(6), Agnes L. Karmaus(5), Jeremy Fitzpatrick(5), Chris Grulke(5), Todd M. Martin(5), Risa Sayre(5), Katie Paul Friedman(4), Rogelio Tornero‐Velez(4), Domenico Alberga(3), Nathalie Alépée(3), Timothy E. H. Allen(3), Vinícius M. Alves(3), Carolina Horta Andrade(3), Tyler R. Auernhammer(3), Davide Ballabio(3)