Understanding peptide metabolism is critical for optimizing drug candidates, yet traditional profiling methods often miss key metabolites or require extensive manual interpretation. This case study presents an integrated LC-HRMS workflow that enables comprehensive, high-confidence peptide metabolite identification with minimal bias.

Key Highlights

• Reveal the Unseen: Advanced background subtraction uncovers metabolites otherwise masked by interference—ensuring no critical degradation product is missed.
• Complete Structural Coverage: Automated fragment assignment combined with targeted manual interpretation delivers confident identification for every metabolite.
• From Peaks to Pathways: Translates analytical data into mapped degradation patterns, guiding rational peptide optimization.

Discover how unbiased, high-resolution metabolite profiling can transform your peptide drug development. Download the full case study to explore the data behind the insight.