Advancements and Limitations in Protein Structure Prediction | 1min snip from "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Scouting Frontiers in AI for Biology: Dynamics, Diffusion, and Design, with Amelie Schreiber

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Advancements and Limitations in Protein Structure Prediction

This chapter explores the progress made in protein structure prediction through AlphaFold's various versions. It highlights both the achievements in molecular interactions and the ongoing challenges that indicate the need for further research in the field.

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Nathan welcomes back computational biochemist Amelie Schreiber for a fascinating update on AI's revolutionary impact in biology. In this episode of The Cognitive Revolution, we explore recent breakthroughs including AlphaFold3, ESM3, and new diffusion models transforming protein engineering and drug discovery. Join us for an insightful discussion about how AI is reshaping our understanding of molecular biology and making complex protein engineering tasks more accessible than ever before.

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CHAPTERS:

(00:00:00) Teaser

(00:00:46) About the Episode

(00:04:30) AI for Biology

(00:07:14) David Baker's Impact

(00:11:49) AlphaFold 3 & ESM3

(00:16:40) Protein Interaction Prediction (Part 1)

(00:16:44) Sponsors: Shopify | SelectQuote

(00:19:18) Protein Interaction Prediction (Part 2)

(00:31:12) MSAs & Embeddings (Part 1)

(00:32:32) Sponsors: Oracle Cloud Infrastructure (OCI) | Weights & Biases RAG++

(00:34:49) MSAs & Embeddings (Part 2)