Mechanistic Prediction of Volume of Distribution: The Influence of Plasma and Tissue Binding

The Agilent Optimum Parameters Poster is a handy wall chart that provides information about choosing solvents, cuvette types, and managing your instrument parameters.

During early drug discovery, the study of metabolism plays an essential role in determining which drug candidates move forward into development and later stages. As an alternative to traditional Data Dependent Acquisition (DDA), the use of MSE/All Ions Fragmentation (AIF) has become common in metabolite identification workflows for the analysis of metabolic hot spots. Here we present a solution for analysis of MSE/AlF in metID studies.

The results shown here imply that iPSC-derived Cor.4U human cardioymocytes are a translational in vitro cell model for the prediction of clinically relevant drug-induced cardiac arrhythmias and long-term toxicity.