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Table 3 Per-segment performance for TMB (transmembrane beta strands). *

From: TMbed: transmembrane proteins predicted through language model embeddings

  TMB (57/768)
Recall (%) Precision (%) Qok (%) Qnum (%) Qtop (%)
TMbed 95.0 ± 4.3 99.2 ± 0.7 80.5 ± 11.4 88.1 ± 6.9 98.1 ± 3.8
DeepTMHMM 85.9 ± 6.6 92.5 ± 4.7 46.1 ± 7.6 74.3 ± 13.0 97.2 ± 4.4
BOCTOPUS2 85.3 ± 9.2 96.6 ± 2.0 56.6 ± 18.9 71.2 ± 11.8 98.0 ± 2.0
BetAware-Deep 67.1 ± 6.5 62.2 ± 11.4 8.7 ± 5.3 60.9 ± 14.1 95.7 ± 5.4
PRED-TMBB2 (MSA) 85.4 ± 1.9 75.6 ± 4.8 18.4 ± 15.0 44.5 ± 26.7 95.9 ± 3.4
PROFtmb 78.2 ± 10.1 78.0 ± 6.9 20.2 ± 12.8 46.6 ± 11.7 97.2 ± 1.0
  1. *Segment performance for transmembrane beta strand (TMB) prediction based on 57 beta barrel TMPs (β-TMP) with a total of 768 TMBs. Recall, Precision, Qok, Qnum, and Qtop were averaged over the five independent cross-validation test sets; error margins given for the 95% confidence interval (1.96*standard error); bold: best values for each column; italics: differences statistically significant with over 95% confidence (only computed between best and 2nd best)