A new paper published in Cell systems by Harvard researcher Mohammed AlQuraishi describes a new deep learning-based approach for predicting the 3D structure of a protein based on its amino acid sequence. The work achieves high accuracy at speeds upward of a million times faster than previous methods. ��Protein folding has been one of the most important problems for biochemists over the last��
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