Kamel Mansouri

High Impact

Investigator/ Computational chemistry

National Center for Toxicological Research

faculty

31 h-index 105 pubs 6,271 cited

Research Areas

Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Computational Drug Discovery Methods Carcinogens and Genotoxicity Assessment Health Systems, Economic Evaluations Bioinformatics and Genomic Networks Metabolomics and Mass Spectrometry Studies

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OverviewAI-generated summary

Kamel Mansouri's research focuses on computational toxicology and the application of new approach methodologies (NAMs) to chemical evaluations. He investigates the use of quantitative structure-activity relationship (QSAR) modeling and machine learning techniques to predict the toxicity of chemical substances based on their structures. His work has contributed to the development of collaborative suites for acute toxicity modeling, such as CATMoS, and QSAR-ready workflows for standardizing chemical structures.

Mansouri has also explored the application of accessible interfaces for pharmacokinetic modeling and in vitro to in vivo extrapolation (IVIVE). This includes quantitative IVIVE for assessing the developmental toxicity of chemical analogues. His research network includes collaborations with Nicole Kleinstreuer at the National Center for Toxicological Research, with whom he has co-authored eight publications.

With a career marked by high impact, Mansouri has published 105 papers, accumulating over 6,271 citations and an h-index of 31. His most recent publication is from 2025, indicating continued activity in his field.