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. 2022 May 4;13:879733. doi: 10.3389/fphar.2022.879733

TABLE 1B.

Quality assessment of the predicted 3D model of targets.

Prediction method VERIFY 3D PROCHECK ERRAT PROVE
Errors Warning Pass
I-TASSER Pass 96.60% 6 1 1 97.7169 Warn 5.0%
nsp3 SWISS-MODEL Pass 96.17% 0 4 4 97.235 Warn 2.9%
trRosetta Pass 97.45% 0 5 3 93.2432 Fail 5.9%
I-TASSER Pass 98.01% 5 1 2 98.2993 Warn 3.6%
nsp5 SWISS-MODEL Pass 98.84% 2 5 2 94.6809 Warn 2.9%
trRosetta Pass 98.34% 1 4 3 92.1429 Warn 3.1%
I-TASSER Pass 87.12% 6 1 1 94.7195 Fail 6.1%
nsp12 SWISS-MODEL Pass 93.48% 6 1 2 87.5449 Fail 7.6%
trRosetta
nsp13 I-TASSER Pass 98.66% 6 1 1 89.4378 Fail 5.3%
SWISS-MODEL Pass 97.30% 1 5 2 96.6252 Warn 3.4%
trRosetta Pass 93.47% 5 1 3 90.3282 Warn 4.8%
nsp15 I-TASSER Pass 91.15% 4 3 1 94.5619 Warn 4.6%
SWISS-MODEL Pass 94.71% 2 5 2 94.8825 Warn 3.4%
trRosetta Pass 95.87% 1 4 3 95.9502 Warn 4.4%