M34.4 CONNECT THE MECHANISM
Evaluate scientific predictions beyond familiar benchmarks
AlphaFold won a Nobel Prize for predicting protein shapes. Learn to read its confidence scores, see what it can't tell you, and spot the test split that flatters molecule models.
LESSON OVERVIEW13 min lesson
Lesson overview
AlphaFold won a Nobel Prize for predicting protein shapes. Learn to read its confidence scores, see what it can't tell you, and spot the test split that flatters molecule models.
What you’ll explore
- Protein, molecular, and materials models predict structures or properties from structured evidence; similarity leakage, uncertainty, physical validity, and experimental confirmation limit claims of discovery.
GO TO THE SOURCE
Original explanations, connected to the research.
Highly accurate protein structure prediction with AlphaFold (Jumper et al., Nature 2021)Accurate structure prediction of biomolecular interactions with AlphaFold 3 (Abramson et al., Nature 2024)De novo design of protein structure and function with RFdiffusion (Watson et al., Nature 2023)The Nobel Prize in Chemistry 2024 (NobelPrize.org)AlphaFold: a solution to a 50-year-old grand challenge in biology (DeepMind, 2020)MoleculeNet: A Benchmark for Molecular Machine Learning (Wu et al., 2018)Neural Message Passing for Quantum Chemistry (Gilmer et al., 2017)Suggest a correction
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