Ep 57: Rich Bonneau on the Exciting Frontiers of Computational Biology
Mar 9, 2023
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Exploring the exciting frontiers of computational biology with Rich Bonneau, from protein folding to drug discovery using machine learning. Dive into the connection between language models and biology, innovative approaches in drug discovery like Moderna's COVID vaccine, and the collaborative efforts in advancing research. Discover the intersection of academia, industry, and government in computational biology and the promising future of interdisciplinary tools.
Machine learning can enhance drug discovery efficiency and cost-effectiveness.
Public trust in science is crucial for combatting health crises like COVID.
Accessing diverse and specific data sources is essential for successful drug candidate development.
Deep dives
Rich Bonneau's Background in Biology and Computer Science
Rich Bonneau's journey in merging biology and computer science started when his interest in botany shifted towards the technical aspects of molecular biology and NMR labs. With mentors like Tim Logan and Alan Marshall, he delved into analyzing data and developing instruments. His progression into high-tech biology showcased a natural transition towards the intersection of biology and technology.
Implications of Public Distrust of Science in the Fight Against COVID
The podcast delves into the implications of public distrust of science amidst the COVID pandemic. Rich Bonneau emphasizes the technological achievements and medical advancements that have historically combated infectious diseases. However, he expresses concern about the growing skepticism towards science and vaccination, highlighting the importance of public trust in overcoming health crises like COVID.
Integration of Machine Learning and Biology in Drug Discovery
The discussion shifts towards the integration of machine learning and biology in drug discovery. Rich Bonneau emphasizes the use of machine learning to revolutionize drug discovery, making it more efficient and cost-effective. He discusses the success story of Moderna, highlighting the shift towards innovative approaches in vaccine development and the positive outcomes of merging scientific research with startup ventures and traditional pharma companies.
Significance of Data Sources in Drug Discovery
One crucial aspect emphasized in the podcast is the significance of accessing diverse and specific data sources in the drug discovery process. It highlights the importance of utilizing data derived from actual drug discovery practices rather than relying solely on publicly available datasets. By leveraging data accumulated within organizations like Genentech and Roche, researchers have access to a richer pool of information, enhancing the machine learning methods used in drug design and ensuring the safety and efficacy of potential medicines. This approach underscores the necessity of integrating various data types and deriving insights from internal processes to optimize the development of successful drug candidates.
Interdisciplinary Approach in Training and Career Development
The podcast delves into the evolving landscape of interdisciplinary skills in training and career development for aspiring professionals in fields such as biology, computer science, and data science. It advocates for individuals to follow their unique paths, balancing expertise development with diverse applications and experiences. By encouraging a blend of skills and applications, it enables individuals to navigate complex domains like molecular biology, chemical physics, and computational biology seamlessly. The discussion underscores the importance of individualized training, embracing new challenges, and cultivating a comprehensive understanding of the interconnectedness between various disciplines to thrive in modern research environments.
When computer science and biology come together, can you reprogram nature? Richard Bonneau joins Vasant Dhar in episode 57 of Brave New World to share his insights on this incredible new field -- and how machine learning can play an important role. Useful resources: 1. Richard Bonneau at Genentech, Wikipedia,Twitter, LinkedIn and Google Scholar. Check out Vasant Dhar’s newsletter on Substack. Subscription is free!
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