Structure Activity Relationship SAR || Medicinal Chemistry || Drug Discovery & Drug Design
Predicting the Carcinogenic Potency of Untested Nitrosamines
In Silico Models for Toxicity Prediction
Assessing the Impact of Expert Knowledge on ICH M7 (Q)SAR Predictions
Session 2 Talks, Panel
Application of (Q)SAR and Expert Knowledge for ICH M7 Impurity Classification
DMF Workshop: GDUFA III Enhancements and Structured Data Submissions – Session 4 and Closing Remarks
Use of Computational and AOP based Approaches to Inform Carcinogenicity Assessments
Use of in silico methods for assessing toxicity
Applying Expert Knowledge for ICH M7 Classification - Session 2
QSARs: The Basics - A Mutagenicity data set case study
In Silico Approaches for Predicting Toxicity
Toxicity Assessments using (Q)SAR tool caseUltra
Carcinogenicity Assessment of Nitrosamines: Current Status
lecture 13 Pgp efflux/Drug Likeness
Applying Expert Knowledge for ICH M7 Assessments Session 3 August 4th 2020
Predicting Drug Toxicity using MolScreen from MolSoft
Lecture 14 Drug Likeness
qsar qspr model development and validation for successful prediction and interpretation
