Table 3 Performance differences among algorithms for the homopolymers of length 64 and 32 in long runs.
From: An adaptive bin framework search method for a beta-sheet protein homopolymer model
Method | Temperature set | Length | E avg ± sd | E med | E q 75 | E q 25 | E min | p – value |
|---|---|---|---|---|---|---|---|---|
our MC | 1.25 | 32 | -158.7 (± 1.9) | -159 | -159 | -158 | -161 | 0.0271* |
our REMC | linear 1.25 to 2.75 | 32 | -159.6 (± 1.3) | -160 | -161 | -158 | -161 | 0.5471 |
our PHAT | linear 1.3 to 2.75 | 32 | -158.9 (± 1.4) | -159 | -159 | -158 | -161 | 0.0638 |
our BINMC | T MC = 1.25, T bin = 6.521 | 32 | -160.1 (± 0.9) | -161 | -161 | -159 | -161 |  |
our MC | 1.25 | 64 | -372.2 (± 2.3) | -372 | -373 | -371 | -377 | 0.0005* |
our REMC | linear 1.25 to 2.75 | 64 | -376.1 (± 3.5) | -376 | -378 | -373 | -382 | 0.0521 |
our PHAT | linear 1.3 to 2.75 | 64 | -374.1 (± 3.8) | -374 | -377 | -371 | -383 | 0.0120* |
our BINMC | T MC = 1.25, T bin = 6.521 | 64 | -379.5 (± 3.3) | -381 | -382 | -376 | -389 |  |