Predicting Molecular Structures with AlphaFold 2 and 3

**Predicting Molecular Structures with AlphaFold 2 and 3**

Introduction In October of 2024, the Nobel Prize in Chemistry recognized the work of AlphaFold 2, a deep learning model developed by Google DeepMind that accurately predicts the 3D structure of a protein solely from its amino acid sequence. To say this work is revolutionary feels like an understatement given how critical the role proteins play in biological processes and how interrelated the structure of a protein is to its function. Historically researchers would spend their entire PhD or years of their career working to solve the structure of a single protein using experimental methods like X-ray crystallography or cryo-electron microscopy. This slowed down a number of areas of biological research including identifying good drug candidates for treating a plethora of currently untreatable conditions. Key Takeaways AlphaFold 2 is not meant to rival wet lab experimental techniques, but rather provide testable hypotheses that can guide researchers in protein structure prediction...

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