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T D Cronin

Showing results (171-180 of 238) with videos related to

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Regulatory Toxicology and Pharmacology : RTP|August 2, 2025
Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residuesS J Enoch, Z Hasarova, M T D Cronin, et al.
Environmental Health Perspectives|August 5, 2003
Use of QSARs in international decision-making frameworks to predict health effects of chemical substancesMark T D Cronin, Joanna S Jaworska, John D Walker, et al.
SAR and QSAR in Environmental Research|June 21, 2002
The importance of hydrophobicity and electrophilicity descriptors in mechanistically-based QSARs for toxicological endpointsM T D Cronin, J C Dearden, J C Duffy, et al.
The Science of the Total Environment|November 12, 2017
Development of thresholds of excess toxicity for environmental species and their application to identification of modes of acute toxic actionJin J Li, Xu J Zhang, Yi Yang, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA|March 22, 2017
Automated workflows for modelling chemical fate, kinetics and toxicityJ V Sala Benito, Alicia Paini, Andrea-Nicole Richarz, et al.
Journal of Chemical Information and Modeling|January 26, 2005
Description of the electronic structure of organic chemicals using semiempirical and ab initio methods for development of toxicological QSARsTatiana I Netzeva, Aynur O Aptula, Emilio Benfenati, et al.
Environmental Science & Technology|June 8, 2026
MechoA+: A Chemical Structure Profiler Raising the Bar for the Prediction of Mechanisms of Toxic Action for Chemical Safety AssessmentGaspard Levet, Franklin J Bauer, Paul C Thomas, et al.
Advanced Drug Delivery Reviews|March 22, 2015
Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico modelsMark Hewitt, Claire M Ellison, Mark T D Cronin, et al.
Chemosphere|December 20, 2002
Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformisMark T D Cronin, Aynur O Aptula, Judith C Duffy, et al.
SAR and QSAR in Environmental Research|December 10, 2013
Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modellingL Lubinski, P Urbaszek, A Gajewicz, et al.
Pageof 24

Showing results (171-180 of 238) with videos related to

Sort By:
Pageof 24
Regulatory Toxicology and Pharmacology : RTP|August 2, 2025
Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residuesS J Enoch, Z Hasarova, M T D Cronin, et al.
Environmental Health Perspectives|August 5, 2003
Use of QSARs in international decision-making frameworks to predict health effects of chemical substancesMark T D Cronin, Joanna S Jaworska, John D Walker, et al.
SAR and QSAR in Environmental Research|June 21, 2002
The importance of hydrophobicity and electrophilicity descriptors in mechanistically-based QSARs for toxicological endpointsM T D Cronin, J C Dearden, J C Duffy, et al.
The Science of the Total Environment|November 12, 2017
Development of thresholds of excess toxicity for environmental species and their application to identification of modes of acute toxic actionJin J Li, Xu J Zhang, Yi Yang, et al.
Toxicology in Vitro : an International Journal Published in Association with BIBRA|March 22, 2017
Automated workflows for modelling chemical fate, kinetics and toxicityJ V Sala Benito, Alicia Paini, Andrea-Nicole Richarz, et al.
Journal of Chemical Information and Modeling|January 26, 2005
Description of the electronic structure of organic chemicals using semiempirical and ab initio methods for development of toxicological QSARsTatiana I Netzeva, Aynur O Aptula, Emilio Benfenati, et al.
Environmental Science & Technology|June 8, 2026
MechoA+: A Chemical Structure Profiler Raising the Bar for the Prediction of Mechanisms of Toxic Action for Chemical Safety AssessmentGaspard Levet, Franklin J Bauer, Paul C Thomas, et al.
Advanced Drug Delivery Reviews|March 22, 2015
Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico modelsMark Hewitt, Claire M Ellison, Mark T D Cronin, et al.
Chemosphere|December 20, 2002
Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformisMark T D Cronin, Aynur O Aptula, Judith C Duffy, et al.
SAR and QSAR in Environmental Research|December 10, 2013
Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modellingL Lubinski, P Urbaszek, A Gajewicz, et al.
Pageof 24