Fig. 1: Holistic clustering of potential dietary protein based on proteomic data. | npj Science of Food

Fig. 1: Holistic clustering of potential dietary protein based on proteomic data.

From: A combined microphysiological-computational omics approach in dietary protein evaluation

Fig. 1

The optimal cluster method ellipsoidal, equal volume, shape, and variable orientation (EEV) and number of clusters (3) were determined using the Bayesian Information Criterion. a This two-component plot shows relative peptide overlap to total peptide count in WPC on the vertical axis and relative peptide abundance of WPC overlapping peptides on the horizontal axis. b Two-component plot showing fraction oligopeptides on the vertical axis and fraction di/tripeptides on the horizontal axis. Supplementary Fig. 4 shows all combinations of two-component plots. Analysis was done based on digest peptide profiles, ion peak overlap, quantity of WPC-matched ion peaks relative to total protein ion peaks and relative abundance of WPC-matched ion peaks.

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