"web3 with a16z" is a show about the next generation of the internet, and about how builders and users -- whether artists, coders, creators, developers, companies, organizations, or communities -- now have the ability to not just "read" (web1) + "write" (web2) but "own" (web3) pieces of the internet, unlocking a new wave of creativity and entrepreneurship. Brought to you by a16z crypto, this show is the definitive resource for understanding and going deeper on all things crypto and web3. Fro ...
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mRNA for Flu Vaccine? AI Protein-Folding Goes Open Source
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Manage episode 299015313 series 2544228
Content provided by Sonal Chokshi and Andreessen Horowitz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sonal Chokshi and Andreessen Horowitz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In today’s episode we have two short segments, both on bioscience topics: [0:00] Moderna has started clinical trials for a flu vaccine, called mRNA-1010, that is based on the same mRNA technology that Moderna and Pfizer used for their COVID vaccines, and that several other companies including Sanofi and Glaxo all are actively working on for the influenza use case. Our experts are general partners Vineeta Agarwala and Jorge Conde of the a16z bio team, who have joined us on many of our vaccine-related episodes, which you can find at a16z.com/vaccines. They discuss what comes next for the clinical trials of this mRNA-based flu vaccines, why companies aren't planning to use the faster and more-targeted mRNA technology for COVID's Delta variant, and how mRNA vaccines will change not only our approach to flu shots but to other respiratory viruses. [9:53] Google’s DeepMind AlphaFold, in partnership with the European Molecular Biology Laboratory, is publicly sharing its entire protein structure database -- with predicted protein structure models for ~20,000 proteins expressed by the human genome -- meaning that all its data will be freely and openly available to the scientific community. (We previously discussed DeepMind's AlphaFold protein-folding AI on this show in episode #48.) General partner Vijay Pande of the a16z bio team helps us answer the question: Why does it matter that a huge database of very accurate predicted protein structures is now freely available?
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71 episodes
MP3•Episode home
Manage episode 299015313 series 2544228
Content provided by Sonal Chokshi and Andreessen Horowitz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sonal Chokshi and Andreessen Horowitz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In today’s episode we have two short segments, both on bioscience topics: [0:00] Moderna has started clinical trials for a flu vaccine, called mRNA-1010, that is based on the same mRNA technology that Moderna and Pfizer used for their COVID vaccines, and that several other companies including Sanofi and Glaxo all are actively working on for the influenza use case. Our experts are general partners Vineeta Agarwala and Jorge Conde of the a16z bio team, who have joined us on many of our vaccine-related episodes, which you can find at a16z.com/vaccines. They discuss what comes next for the clinical trials of this mRNA-based flu vaccines, why companies aren't planning to use the faster and more-targeted mRNA technology for COVID's Delta variant, and how mRNA vaccines will change not only our approach to flu shots but to other respiratory viruses. [9:53] Google’s DeepMind AlphaFold, in partnership with the European Molecular Biology Laboratory, is publicly sharing its entire protein structure database -- with predicted protein structure models for ~20,000 proteins expressed by the human genome -- meaning that all its data will be freely and openly available to the scientific community. (We previously discussed DeepMind's AlphaFold protein-folding AI on this show in episode #48.) General partner Vijay Pande of the a16z bio team helps us answer the question: Why does it matter that a huge database of very accurate predicted protein structures is now freely available?
…
continue reading
71 episodes
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