Dmitry Korkin is a professor of bioinformatics and computational biology at Worcester Polytechnic Institute, where he specializes in bioinformatics of complex disease, computational genomics, systems biology, and biomedical data analytics. I came across Dmitry’s work when in February his group used the viral genome of the COVID-19 to reconstruct the 3D structure of its major viral proteins and their interactions with human proteins, in effect creating a structural genomics map of the coronavirus and making this data open and available to researchers everywhere. We talked about the biology of COVID-19, SARS, and viruses in general, and how computational methods can help us understand their structure and function in order to develop antiviral drugs and vaccines.

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EPISODE LINKS:

Dmitry’s Website: <a href="http://korkinlab.org/">http://korkinlab.org/</a>

Dmitry’s Twitter: <a href="https://twitter.com/dmkorkin">https://twitter.com/dmkorkin</a>

Dmitry’s Paper that we discuss: <a href="https://bit.ly/3eKghEM">https://bit.ly/3eKghEM</a>

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to <a href="https://lexfridman.com/ai">https://lexfridman.com/ai</a> or connect with @lexfridman on <a href="https://twitter.com/lexfridman">Twitter</a>, <a href="https://www.linkedin.com/in/lexfridman/">LinkedIn</a>, <a href="https://www.facebook.com/lexfridman">Facebook</a>, <a href="https://medium.com/@lexfridman">Medium</a>, or <a href="https://www.youtube.com/lexfridman">YouTube</a> where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on <a href="https://podcasts.apple.com/us/podcast/artificial-intelligence/id1434243584">Apple Podcasts</a>, follow on <a href="https://open.spotify.com/show/2MAi0BvDc6GTFvKFPXnkCL">Spotify</a>, or support it on <a href="https://www.patreon.com/lexfridman">Patreon</a>.

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

OUTLINE:

00:00 – Introduction

02:33 – Viruses are terrifying and fascinating

06:02 – How hard is it to engineer a virus?

#90 – Dmitry Korkin: Computational Biology of Coronavirus

Search the Record

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#77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science

#78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science

#79 – Lee Smolin: Quantum Gravity and Einstein’s Unfinished Revolution

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#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering

#82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game

#83 – Nick Bostrom: Simulation and Superintelligence

#85 – Roger Penrose: Physics of Consciousness and the Infinite Universe

#86 – David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning

#87 – Richard Dawkins: Evolution, Intelligence, Simulation, and Memes

#88 – Eric Weinstein: Geometric Unity and the Call for New Ideas, Leaders & Institutions

#89 – Stephen Wolfram: Cellular Automata, Computation, and Physics

#90 – Dmitry Korkin: Computational Biology of Coronavirus

#91 – Jack Dorsey: Square, Cryptocurrency, and Artificial Intelligence

#92 – Harry Cliff: Particle Physics and the Large Hadron Collider

#93 – Daphne Koller: Biomedicine and Machine Learning

#94 – Ilya Sutskever: Deep Learning

#95 – Dawn Song: Adversarial Machine Learning and Computer Security

#96 – Stephen Schwarzman: Going Big in Business, Investing, and AI

#97 – Sertac Karaman: Robots That Fly and Robots That Drive

#99 – Karl Friston: Neuroscience and the Free Energy Principle

#101 – Joscha Bach: Artificial Consciousness and the Nature of Reality

#102 – Steven Pressfield: The War of Art

#103 – Ben Goertzel: Artificial General Intelligence

#104 – David Patterson: Computer Architecture and Data Storage

#105 – Robert Langer: Edison of Medicine

#106 – Matt Botvinick: Neuroscience, Psychology, and AI at DeepMind

#107 – Peter Singer: Suffering in Humans, Animals, and AI

Summary

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