The Importance of Training Predictors
This application note discusses the importance of using the machine learning (model training) capabilities of predictive models to improve accuracy.
Lipophilicity Descriptors: Understanding When to Use LogP & LogD
LogP vs logD? Learn why logD is the most relevant lipophilicity descriptor in R&D and see how it may be applied in drug discovery to understand physiological/in vivo behaviors.
A simple approach to multifunctionalized N1-alkylated 7-amino-6-azaoxindole derivatives using their in situ stabilized tautomer form
An article by N. Tzvetkov et al. published in Tetrahedron, 2016, that references ACD/LogP.