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Journal: Molecular & Cellular Proteomics : MCP
Article Title: Exploring How Workflow Variations in Denaturation-Based Assays Impact Global Protein–Protein Interaction Predictions
doi: 10.1016/j.mcpro.2025.101479
Figure Lengend Snippet: Comparing PPI detection using soluble and insoluble fractions from TPCA and I-PISA workflows. A , schematic representation of the rationale for understanding the usefulness of insoluble fraction for PPI network prediction. B , Venn diagram comparing the proteins detected across soluble and insoluble TPCA and I-PISA experiments. C , box plot comparing the standard deviation of denaturation curves between replicates for all proteins in a given experiment. The line within the box represents the median value, and the whiskers represent the ±1.5 interquartile range. D , box plot comparing the standard deviation of Tapioca scores assigned to a given pair of proteins between replicates for all pair or proteins in a given experiment. Box plot elements are the same as in C . E , box plot comparing PPI prediction quality, measured by area under a precision-recall curve (AUPRC), across experimental conditions. Box plot elements are the same as in C . F , Venn diagram comparing known PPIs, with experimental evidence from STRING , BIOGRID ( , ), or REACTOME , across soluble and insoluble TPCA and I-PISA experiments. G and H , bar plot showing the U-statistic derived values (X-axis) and associated multiple hypothesis test corrected p -value from the comparison of different sequence-predicted physical properties of known PPIs found as assembled from different workflows (see ). Across all panels, p -values were calculated using a two-sided Mann-Whitney U test followed by multiple hypothesis test correction using the Bonferroni correction method. N = 3 biological replicates for all experiments.
Article Snippet: The aliquoted samples were then digested at 37 °C with 1 μg of
Techniques: Standard Deviation, Derivative Assay, Comparison, Sequencing, MANN-WHITNEY