All Episodes

May 31, 2025 52 mins

Today's episode answers the following questions, among others:

  1. What are proteins and what are their basic building blocks?
  2. What are the different levels of protein structure (primary, secondary, tertiary, quaternary)?
  3. How do proteins fold into their specific shapes, and what helps them do it?
  4. What are the main ways scientists determine the 3D structure of proteins, including new AI methods like AlphaFold?
  5. How are proteins made in our cells, starting from DNA?
  6. What are post-translational modifications (PTMs) and why are they important for proteins?
  7. What are the main functions of proteins in the body (e.g., enzymes, structural support, transport)?
  8. How do enzymes, which are often proteins, speed up chemical reactions?
  9. How do cells get rid of old or damaged proteins?
  10. How can changes or problems with proteins lead to diseases like sickle cell anemia or Alzheimer's?
  11. Can proteins be used as medicines, and what are some examples (like insulin or antibodies)?
  12. How are proteins used in biotechnology and industry, for example, in detergents or making biofuels?
  13. How much protein do people generally need to eat, and does it vary for different individuals (like athletes or older adults)?
  14. What is the difference between animal and plant proteins in terms of nutrition (e.g., complete vs. incomplete proteins)?
  15. What are some of the societal or ethical debates surrounding proteins, such as GMOs, patenting, or lab-grown meat?

 

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About Deep Research Review:

In this ad-free educational podcast, Deep Research reports from Gemini, ChatGPT, Grok, and Perplexity are synthesized to find the objective truth about any topic. Join researcher and entrepreneur Landon Kelson as he pushes the boundaries of research and access to information. Topics include family, technology, pharmacology, astronomy, geography, philosophy, psychology, medicine, history, sports, music, religion, politics, and more. New episodes every morning.

 

Disclaimer: 

Some content on this podcast is AI-generated and may contain biased, offensive, misleading, or outright false information. Nothing is intended as medical, financial, or legal advice. I do my best to encourage unbiased and factual reporting throughout the entire process, but I don't vet or modify AI-generated content in any way; therefore, a healthy dose of critical thinking should always be applied, and listeners would do well to supplement this material with their own research.

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