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Russell Naven

Showing results (1-10 of 10) with videos related to

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Current Opinion in Drug Discovery & Development|January 20, 2009
Early toxicity screening strategiesNigel Greene, Russell Naven
ACS Medicinal Chemistry Letters|February 20, 2020
Utility of Physicochemical Properties for the Prediction of Toxicological Outcomes: Takeda PerspectiveTomoya Yukawa, Russell Naven
Chemical Research in Toxicology|August 29, 2019
Small-Scale Panel Comprising Diverse Gene Family Targets To Evaluate Compound PromiscuityTomoya Sameshima, Tomoya Yukawa, Yoshihiko Hirozane, et al.
Nature Reviews. Drug Discovery|May 21, 2024
The state of the art in secondary pharmacology and its impact on the safety of new medicinesRichard J Brennan, Stephen Jenkinson, Andrew Brown, et al.
Nature Reviews. Drug Discovery|June 17, 2024
Author Correction: The state of the art in secondary pharmacology and its impact on the safety of new medicinesRichard J Brennan, Stephen Jenkinson, Andrew Brown, et al.
Regulatory Toxicology and Pharmacology : RTP|April 27, 2022
Corrigendum to a cross-industry collaboration to assess if acute toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling. Regulatory toxicology and pharmacology (2021) 104843Joel Bercu, Melisa J Masuda Herrera, Alejandra Trejo-Martin, et al.
Regulatory Toxicology and Pharmacology : RTP|December 19, 2020
A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labellingJoel Bercu, Melisa J Masuda-Herrera, Alejandra Trejo-Martin, et al.
Regulatory Toxicology and Pharmacology : RTP|February 17, 2016
Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: A case study using aromatic amine mutagenicityErnst Ahlberg, Alexander Amberg, Lisa D Beilke, et al.
Chemical Research in Toxicology|May 2, 2025
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real WorldSrijit Seal, Manas Mahale, Miguel García-Ortegón, et al.
Regulatory Toxicology and Pharmacology : RTP|December 19, 2018
Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analysesAlexander Amberg, Roxanne V Andaya, Lennart T Anger, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Current Opinion in Drug Discovery & Development|January 20, 2009
Early toxicity screening strategiesNigel Greene, Russell Naven
ACS Medicinal Chemistry Letters|February 20, 2020
Utility of Physicochemical Properties for the Prediction of Toxicological Outcomes: Takeda PerspectiveTomoya Yukawa, Russell Naven
Chemical Research in Toxicology|August 29, 2019
Small-Scale Panel Comprising Diverse Gene Family Targets To Evaluate Compound PromiscuityTomoya Sameshima, Tomoya Yukawa, Yoshihiko Hirozane, et al.
Nature Reviews. Drug Discovery|May 21, 2024
The state of the art in secondary pharmacology and its impact on the safety of new medicinesRichard J Brennan, Stephen Jenkinson, Andrew Brown, et al.
Nature Reviews. Drug Discovery|June 17, 2024
Author Correction: The state of the art in secondary pharmacology and its impact on the safety of new medicinesRichard J Brennan, Stephen Jenkinson, Andrew Brown, et al.
Regulatory Toxicology and Pharmacology : RTP|April 27, 2022
Corrigendum to a cross-industry collaboration to assess if acute toxicity (Q)SAR models are fit-for-purpose for GHS classification and labelling. Regulatory toxicology and pharmacology (2021) 104843Joel Bercu, Melisa J Masuda Herrera, Alejandra Trejo-Martin, et al.
Regulatory Toxicology and Pharmacology : RTP|December 19, 2020
A cross-industry collaboration to assess if acute oral toxicity (Q)SAR models are fit-for-purpose for GHS classification and labellingJoel Bercu, Melisa J Masuda-Herrera, Alejandra Trejo-Martin, et al.
Regulatory Toxicology and Pharmacology : RTP|February 17, 2016
Extending (Q)SARs to incorporate proprietary knowledge for regulatory purposes: A case study using aromatic amine mutagenicityErnst Ahlberg, Alexander Amberg, Lisa D Beilke, et al.
Chemical Research in Toxicology|May 2, 2025
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real WorldSrijit Seal, Manas Mahale, Miguel García-Ortegón, et al.
Regulatory Toxicology and Pharmacology : RTP|December 19, 2018
Principles and procedures for handling out-of-domain and indeterminate results as part of ICH M7 recommended (Q)SAR analysesAlexander Amberg, Roxanne V Andaya, Lennart T Anger, et al.
Pageof 1