Latest Infographics

In this infographic, we explore the field of pharmacogenomics. How can genes impact both the pharmacokinetics and pharmacodynamics of a therapeutic? What are some specific examples of compounds that elicit different effects in different people based on their genome?

Download this infographic to discover six ways that parents can be supported in STEM careers.

Download this infographic to learn the impact of unconscious gender bias on women in STEM and the global schemes that are celebrating female scientists.

More than 95% of the clinical biochemistry laboratory workload is based on small molecule identification, which can be analyzed through metabolomics-based techniques. In this infographic, we explore how metabolomics has reshaped the clinical diagnostics landscape.

Structural biology combines molecular biology, biochemistry and biophysics. It is concerned with the study of the molecular structure and dynamics of biomolecules, information that can be extremely useful in fields such as medicine. Download this infographic to learn more about the structural biology research field and the use of cross-linking mass spectrometry in this space.

Download this infographic for a global perspective of women in STEM.

Biotherapeutics now represent a rapidly growing portion of the pharmaceutical market. Download this infographic to learn more about what biotherapeutics are, why it is important to characterize and analyze them and four key approaches for biotherapeutic characterization and analysis.

Download this infographic to learn more about innovative solutions for CAR-T discovery and development

Download this infographic to learn more about LC-MS/MS, the processes involved in an experiment using a DIA approach and how DIA produces a higher number of quantified proteins in a shorter analysis period than DDA.

What is personalized medicine (PM) and why do we need it? Download this infographic to learn about PM, a movement with the potential to help match patients to therapies far more efficiently than the current “trial and error” approach.