Metabolomics occupies a distinctive place among the omics sciences. While genomics and proteomics characterize upstream regulatory potential, metabolomics measures the small molecules that reflect the downstream functional state of biological systems. As drug discovery becomes increasingly data-driven, the ability to detect, quantify, and interpret metabolic changes across disease states and therapeutic contexts has become essential.
This Technology Guide examines core considerations for designing a metabolomics study in drug discovery and features expert insights on integrating complementary analytical approaches for more robust and reproducible biomarker research.
Download this Technology Guide to learn:
- How to design metabolomics studies that align with specific biological questions and stages of drug discovery
- Key considerations in sample selection, analytical platforms, and data integration within biological context
- Strategies for combining analytical approaches and computational tools to strengthen metabolomics-based biomarker discovery
