Table 3.
Average modeling accuracy of deep ResNet on 21 human-designed proteins. GDT and GHA are scaled to [0, 1].
ResNet trained with | Sequence database used to build input features | First Model | Best Model | ||||
---|---|---|---|---|---|---|---|
TM | GDT | GHA | TM | GDT | GHA | ||
Co-evolution | 2018 uniclust30 | 0.650 | 0.662 | 0.479 | 0.675 | 0.686 | 0.498 |
Co-evolution | 2020 uniref30 | 0.662 | 0.675 | 0.490 | 0.683 | 0.694 | 0.509 |
No coevolution | 2018 uniclust30 | 0.584 | 0.598 | 0.430 | 0.676 | 0.695 | 0.509 |
No coevolution | 2020 uniref30 | 0.654 | 0.663 | 0.495 | 0.723 | 0.738 | 0.556 |