Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us

2020-04-26 · 24 min · episode 547 · 13 entities

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→ appeared on The a16z Show podcast

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Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us
→ hosted by Andreessen Horowitz person

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Feed author/publisher: Andreessen Horowitz
→ discusses Science concept

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Feed category: Science
→ discusses Technology concept

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Feed category: Technology
→ discusses Business concept

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Feed category: Business
→ discusses Entrepreneurship concept

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Feed category: Entrepreneurship
→ hosted by a16z company

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evidence rules-v4
Feed author/publisher: a16z

Entities found in this episode

concepts 8

mentioned Science concept

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Feed category: Science
mentioned Technology concept

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evidence rules-v4
Feed category: Technology
mentioned Business concept

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Feed category: Business
mentioned Entrepreneurship concept

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evidence rules-v4
Feed category: Entrepreneurship
discusses Science concept

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evidence rules-v4
Feed category: Science
discusses Technology concept

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evidence rules-v4
Feed category: Technology
discusses Business concept

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evidence rules-v4
Feed category: Business
discusses Entrepreneurship concept

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evidence rules-v4
Feed category: Entrepreneurship

persons 3

mentioned Machine Le person

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Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us
mentioned Andreessen Horowitz person

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evidence rules-v4
Feed author/publisher: Andreessen Horowitz
hosted by Andreessen Horowitz person

0.55

evidence rules-v4
Feed author/publisher: Andreessen Horowitz

podcasts 1

appeared on The a16z Show podcast

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evidence rules-v4
Journal Club: Finding New Antibiotics with Machine Learning, What Coronavirus Structures Tell Us

companys 1

hosted by a16z company

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evidence rules-v4
Feed author/publisher: a16z

Episode description as stored

a16z Journal Club (part of the a16z Podcast), curates and covers recent advances from the scientific literature -- what papers we’re reading, and why they matter from our perspective at the intersection of biology & technology (for bio journal club). This inaugural episode covers 2 different topics, in discussion with Lauren Richardson: 0:26 #1 identifying new antibiotics through a novel machine-learning based approach -- a16z general partner Vijay Pande and bio deal partner Andy Tran discuss the business of pharma; the specific methods/ how it works; and other applications for deep learning in drug discovery and development based on this paper: " A Deep Learning Approach to Antibiotic Discovery " in Cell (February 2020), by Jonathan Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina Donghia, Craig MacNair, Shawn French, Lindsey Carfrae, Zohar Bloom-Ackermann, Victoria Tran, Anush Chiappino-Pepe, Ahmed Badran, Ian Andrews, Emma Chory, George Church, Eric Brown, Tommi Jaakkola, Regina Barzilay, James Collins 11:43 #2 characterizing the novel coronavirus causing the COVID-19 pandemic -- a16z bio deal partner Judy Savitskaya shares what we can learn from the protein structures; the relationship to the 2002-2004 SARS epidemic; and more based on these two research articles: " Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein " in Cell (April 2020), by Alexandra Walls, Young-Jun Park, M. Tortorici, Abigail Wall, Andrew McGuire, David Veesler " Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation " in Science (March 2020), by Daniel Wrapp, Nianshuang Wang, Kizzmekia Corbett, Jory Goldsmith, Ching-Lin Hsieh, Olubukola Abiona, Barney Graham, Jason McLellan You can find these episodes at a16z.com/journalclub. Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.