Learning to Identify Physiological and Adventitious Metal-Binding Sites in the Three-Dimensional Structures of Proteins by Following the Hints of a Deep Neural Network
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DOI: 10.1021/acs.jcim.2c00522
Abstract: Thirty-eight percent of protein structures in the Protein Data Bank contain at least one metal ion. However, not all these metal sites are biologically relevant. Cations present as impurities during sample preparation or in the… read more here.
Keywords: network; physiological adventitious; learning identify; metal ... See more keywords