A Study on Protein Conformational Changes Using a Large-Scale Biophysical Sampling Augmented Deep Learning Strategy

Predicting protein conformational changes remains a crucial challenge in computational biology and artificial intelligence. Breakthroughs achieved by deep learning, such as AlphaFold2, have moved the goalpost for predicting static structures but do not address the dynamic conformational change most proteins undertake to exercise their biological roles. These transitions are critical to understand a wide range […]

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