Advanced metabolite identification and quantitation for small molecule metabolism and biotherapeutic catabolism
Studying the metabolism or catabolism of drug products is a challenging endeavor for researcher in pharmaceutical companies. It is important that during these studies that low level and potentially toxic metabolites / catabolites be reliably detected. Obtaining comprehensive quality LC-MS/MS data is key to understand the complete metabolite profile. Data analysis is often complicated to understand the full metabolite profile, to compile the data across multiple time points and sometimes multiple species.
MetabolitePilot Software offers an integrated and easy to use workspace for high throughput processing and interrogation of advanced drug metabolism and biologics catabolism data. Powerful data processing algorithms accelerate metabolite and catabolite identifications, enables effective time-point and cross species comparisons, and simplifies reporting so you can drive your drug development program more efficiently.
This note describes the key features of MetabolitePilot Software for identification and quantification workflows for small molecule metabolism and biotherapeutic catabolism.
Automated and powerful catabolism data processing for therapeutic peptides
Catabolism analysis for therapeutic peptides, including nonlinear, cross-linked and cyclic structures
Support of non-natural amino acids and modifications
Targeted searching of predicted hydrolytic cleavages
Calculation and assignment of a-, b-, y- and internal fragments for linear and non-linear peptides.