World's Largest Supercomputer v. Biology's Toughest Problems - The a16z Show Recap

Podcast: The a16z Show

Published: 2020-06-14

Duration: 1954

Guests: Vijay Pande, Greg Bowman, Lauren Richardson

What Happened

Proteins, the molecular machines of life, start as linear strings of amino acids, which must fold into complex three-dimensional shapes to function properly. This process, known as protein folding, is essential for biological activity and is the focus of the Folding at Home project. Folding at Home simulates protein dynamics to understand their function and facilitate drug and antibody design, particularly targeting the COVID-19 spike protein to aid in therapeutic development.

Folding at Home, founded by Vijay Pande at Stanford, addresses the immense computational demands of simulating protein folding by using a distributed computing model. This approach breaks down complex calculations into smaller tasks processed by independent computers donated by millions of users worldwide. The collective power of these devices forms what is presently the largest supercomputer, achieving 2.4 exaFLOPS.

The project draws inspiration from SETI@Home and Napster, leveraging distributed computing to address the immense computational needs of protein folding simulations. By developing algorithms and models such as Markov state models, Folding at Home has advanced its simulations from nanoseconds to milliseconds, revealing critical protein conformational changes.

During the COVID-19 pandemic, Folding at Home's user base expanded dramatically from 30,000 to over 2 million active devices. This surge in participation underscores the project's reliance on volunteers and the importance of motivating contributors through a points system, which acts as a form of currency, rewarding users for their computational contributions.

Folding at Home's simulations have revealed cryptic drug-binding sites that are not apparent through traditional crystallography methods. This capability enhances the understanding of protein interactions and supports drug discovery efforts, making significant contributions to structural biology and drug design.

The interdisciplinary nature of Folding at Home involves computing, statistics, proteins, and human psychology. This confluence has attracted a generation of young researchers and future leaders in technology, exposing them to the power and potential of computational biology.

Key Insights

• Folding at Home's distributed computing model allows it to harness the power of millions of personal computers to simulate protein folding, making it the world's largest supercomputer at 2.4 exaFLOPS.
• Proteins must fold into specific three-dimensional shapes to function, and understanding these dynamics is crucial for drug and antibody design, particularly for targeting diseases like COVID-19.
• The project has grown significantly, with user participation increasing from 30,000 to over 2 million devices during the COVID-19 pandemic, showing the impact of global scientific collaboration.
• Folding at Home has developed advanced algorithms, including Markov state models, that have improved the temporal resolution of protein simulations, enabling the discovery of new drug-binding sites.