Skip to main content

Advertisement

Table 1 Summary of analysis

From: Flanking p10 contribution and sequence bias in matrix based epitope prediction: revisiting the assumption of independent binding pockets

A. Full data
Data set method -m J r 2
GAD65 P9 0.352 30.22 0.373
  P10 0.341 26.75 0.445
  PP10 0.383 22.37 0.536
ICA69 P9 0.338 29.91 0.325
  P10 0.275 33.24 0.250
  PP10 0.327 29.27 0.340
VZV P9 0.252 8.16 0.386
  P10 0.225 8.99 0.324
B. Data edited to remove poor binders
Data set method -m J r 2
GAD65 P9 0.324 25.44 0.279
  P10 0.368 20.12 0.429
  PP10 0.410 16.12 0.543
ICA69 P9 0.308 24.27 0.251
  P10 0.244 25.47 0.214
  PP10 0.308 21.22 0.345
VZV P9 0.334 1.92 0.573
  P10 0.324 2.56 0.431
  1. The fit of prediction to binding has been calculated for each prediction method using measures of slope (-m), sum of the square terms of the residual error (J) and r-square value (r2) for peptide sequences from GAD65, ICA69 and VZV. Table 1A shows the statistics for the unedited data, and Table 1B shows the equivalent statistics for the data edited to remove poor binding measurements.