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

From high school biology on up, we're taught the central dogma of biology - that biological information flows from DNA to RNA to proteins. This representation of the central dogma is, however, very much a simplification of its original formulation by Francis Crick and over-applying it can lead us down spurious paths and faulty conclusions. In this episode of Translating Proteomics, Parag and Andreas dive into the real meaning of the central dogma and discuss how modern biology research, including proteomics, shows we must drastically alter the ways we use and interpret the central dogma.

Chapters:

00:00 – What is the central dogma and how is it misinterpreted?

08:06 – Regulation and control in biology

11:58 – The need for new models in biology