Metabolite Identification Services

Metabolite identification is a cornerstone of modern drug discovery, providing essential insights into the metabolic fate of new chemical entities. At Domainex, we deliver comprehensive ‘cold’ metabolite profiling to support medicinal chemistry and DMPK strategies.

In vitro metabolite identification uses systems such as liver microsomes, hepatocytes, and recombinant enzymes to rapidly predict metabolic pathways, identify primary metabolites, and assess enzyme involvement. These early-stage studies help guide structural optimization and reduce the risk of downstream liabilities.

Waters Xevo G2-XS QTof delivers high-resolution analysis for metabolite identification
Figure 1 Waters Xevo G2-XS QTof delivers high-resolution analysis for metabolite identification

In vivo metabolite identification provides a holistic view of metabolism under physiological conditions, capturing secondary pathways and species differences that cannot be fully replicated in vitro. Either as standalone studies, or in collaboration with our preclinical In-Life partners, we can deliver deeper understanding of compound clearance mechanisms and potential formation of active or toxic metabolites. 

At Domainex, we leverage advanced high-resolution mass spectrometry (HR-MS) to pinpoint metabolic soft spots (Figure 1). Its superior mass accuracy, combined with detailed MS/MS fragmentation data, enables precise structural elucidation of metabolites.

MetID workflow

Figure 2 Simplified workflow of metabolic soft spot identification

Observed metabolites for Midazolam following incubation in cynomolgus macaque hepatocytes for 60 minutes

Figure 3 Observed metabolites for Midazolam following incubation in cynomolgus macaque hepatocytes for 60 minutes

Empowering sponsors with data-driven decisions, we optimise pharmacokinetics and minimise late-stage risks. Our expert team leverages cutting-edge analytical platforms to provide meaningful results that speed up your development journey.

Partner with us to unlock the full potential of your drug candidates through robust metabolite identification.