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Machine learning differentiates enzymatic and non-enzymatic metals in proteins
2021
Nature Communications
AbstractMetalloenzymes are 40% of all enzymes and can perform all seven classes of enzyme reactions. Because of the physicochemical similarities between the active sites of metalloenzymes and inactive metal binding sites, it is challenging to differentiate between them. Yet distinguishing these two classes is critical for the identification of both native and designed enzymes. Because of similarities between catalytic and non-catalytic metal binding sites, finding physicochemical features that
doi:10.1038/s41467-021-24070-3
pmid:34140507
fatcat:oy2vjdj7xfblzgseg73jvmg3ba