Given the success rate of clinical studies that employ biomarkers, the search for small molecule and protein biomarkers is at the forefront of drug discovery and development efforts today. These measures go ‘beyond the genome’ to capture dynamic factors that can influence disease risk, disease progression, and drug response. When integrated with genetic information via multiomics analysis, deeper insight into the biological mechanisms underlying biological and disease processes can be revealed.
The ability to apply nontargeted multiomics technology to single samples holds tremendous promise for identifying the full complement of dynamic biomarkers in various biosamples. However, efficient generation of metabolomics, lipidomics, and proteomics data is only the first step in making findings actionable to advance drug development. Biocomputational methods that enable large-scale multiomics analysis are needed unify different layers of omics data to identify optimal drug targets and robust, translatable biomarkers.
This eBook, presented by The Scientist, delves into the latest trends and technologies moving nontargeted multiomics biomarker discovery forward, within and across omics disciplines.
Use this form to download the eBook and learn how large-scale biomarker data, combined with advanced multiomics analysis approaches, delivers actionable knowledge to inform every stage of drug discovery and development – complementing traditional targeted approaches and expanding discovery possibilities.