An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein Screening
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DOI: 10.1021/acs.jcim.2c00583
Abstract: The prediction of peptide-protein binding sites is of utmost importance to tackle the onset of severe neurodegenerative diseases and cancer. In this work, we detail a novel machine learning model based on Linear Discriminant Analysis… read more here.
Keywords: learning model; peptide binding; machine learning; pockets protein ... See more keywords