Despite incredible leaps in our understanding of molecular biology, the majority of drug development efforts still fail, and those that succeed often fail to return investment dollars. Proteomics has the potential to change that by providing high-resolution views of the biochemical drivers of biological function - proteins. In this episode of Translating Proteomics, Parag and Andreas discuss how proteomics can help researchers identify good drug targets, personalize drug development, and advance precision medicine.

Chapters:

00:00 - How do we define good drug targets and "druggable" in the age of proteomics

08:16 - Advancing personalized medicine through proteomics

10:58 - How proteomics technologies have changed drug development

15:13 - New abilities next-generation proteomics technologies give us in drug development

Learn about proteomics and biomarker discovery:

https://youtu.be/8rcAxHSRGYs?si=kZ0UX42TJ8tWIaSN

Learn more about proteomics and precision medicine:

https://youtu.be/bzRlM45agBY?si=eop2XcGLc_oLeiVc

Proteins are far more than just the output of genes. They can be modified in myriad ways to produce millions of proteoforms with altered dynamics, localization, and function. For a comprehensive understanding of biology that will propel drug development and biomarker discovery forward, we need to be able to measure proteoforms routinely. In this episode, Parag and Andreas discuss the incredible value that will come from studying proteoforms and describe what it will take to make proteoform measurement a routine part of biology research.

Chapters:

00:00 - Introduction to proteoforms

09:38 - Evidence that proteoforms are important and how we can use proteoform data

19:28 - Technology advances needed to understand proteoform biology

AI might be the biggest buzz word of the decade, but the buzz is warranted in terms of its practical potential in biological research. In this episode of Translating Proteomics, Parag and Andreas discuss some of the early wins for AI in biology, practical ways AI can be applied to biology research in the near term, challenges in that application, and how proteomics researchers in particular can use AI to advance their work.

Chapters:

• 00:00 – Why now is the time to apply AI to biomedicine
• 05:28 – Difficulties and potential solutions when applying AI to biology
• 14:20 – How AI will impact the study of proteins
• 19:34 – Risks of AI in biomedicine