Latest App Notes & Case Studies

Both RUO and cGMP compliance play important roles in the drug discovery pipeline. However, meeting regulatory demands can be a challenge when accelerating new drugs to the clinic.

Discover an automated solution for the consolidation and ranking of your metabolite structures. Explore a workflow that utilizes both EAD and CID data for the most confident characterization and streamlined data acquisition.

Discover an automated processing workflow that utilizes both EAD and CID data for the most confident characterization of pharmaceutical drug metabolites.

Protein-targeting chimeras (PROTACs) have gained significant attention recently due to their high potency in nanomolar drug concentrations and target selectivity. However, low test concentrations in complex matrices present analytical challenges.

Understanding the effects of in vitro drug metabolism is a key aspect of drug discovery and development. However, researchers must be able to make confident decisions quickly and easily.

Glucuronidation is an essential metabolic pathway for drug clearance and its characterization is crucial for optimizing the efficiency and safety of drug candidates.

Early ADME studies are used to determine if a drug candidate is prone to metabolic breakdown or oxidation/conjugation. Glucuronide conjugation is difficult to characterize using MS/MS alone, therefore fragmentation is also required to obtain structural information.

Developed for performance in human serum and plasma, the SomaScan Assay v4.1 can measure approximately 7,000 unique human protein analytes in small volumes of biological samples.

This app note presents a robust workflow that combines automated sample preparation, hydrophilic interaction chromatography and triple quadrupole mass spectrometry that can be applied to plasma and mammalian cell samples.

Single-cell RNA sequencing produces a substantial amount of complex data that can be a burden if you don’t have time to become an expert in bioinformatics.