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This PhD thesis introduces deep learning methods for protein complex prediction and design, including GLINTER for contact prediction, ESMPair for homolog pairing, and RedNet for binder design.
This article reflects on the five-year impact of AlphaFold since its 2020 breakthrough, highlighting its role as a global scientific tool used by millions of researchers and its recognition with the 2024 Nobel Prize in Chemistry.
Researchers used AlphaFold and cryo-EM to map the structure of the apoB100 protein, which forms bad cholesterol, marking a significant breakthrough in understanding heart disease.