Drug Design Challenges
Drug design encompasses a diverse range of challenges, requiring tailored approaches for each specific problem. While Alphafold 2 has made significant strides in predicting protein structures, it has also revealed that many related challenges remain unsolved. Insights suggest that foundational modeling in chemistry and biology can enhance performance across various tasks, indicating a promising future for machine learning applications in this field.In this clip
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Gradient Dissent - A Machine Learning Podcast
Accelerating drug discovery with AI: Insights from Isomorphic Labs
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