Artwork

Conteúdo fornecido por Sonal Chokshi and Andreessen Horowitz. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sonal Chokshi and Andreessen Horowitz ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Player FM - Aplicativo de podcast
Fique off-line com o app Player FM !

mRNA for Flu Vaccine? AI Protein-Folding Goes Open Source

16:50
 
Compartilhar
 

Manage episode 299015313 series 2544228
Conteúdo fornecido por Sonal Chokshi and Andreessen Horowitz. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sonal Chokshi and Andreessen Horowitz ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.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 episódios

Artwork
iconCompartilhar
 
Manage episode 299015313 series 2544228
Conteúdo fornecido por Sonal Chokshi and Andreessen Horowitz. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Sonal Chokshi and Andreessen Horowitz ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.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 episódios

Todos os episódios

×
 
Loading …

Bem vindo ao Player FM!

O Player FM procura na web por podcasts de alta qualidade para você curtir agora mesmo. É o melhor app de podcast e funciona no Android, iPhone e web. Inscreva-se para sincronizar as assinaturas entre os dispositivos.

 

Guia rápido de referências