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.
Chromatographic retention behaviour, modelling and optimization of a UHPLC-UV separation of the regioisomers of the Novel Psychoactive Substance (NPS) methoxphenidine (MXP)
Software from ACD/Labs was used in the prediction of physical and chemical properties, and retention modelling and optimization.