Table 2 The MAE of combined features in predicting the torsion angles using ESIDEN on the D2020 dataset.

From: Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network

Combined features

Validation

Test

MAE (\(\phi\))

MAE (\(\psi\))

MAE (\(\phi\))

MAE (\(\psi\))

Basic = PSSM + PP + AA

\(17.22 \pm 0.08\)

\(25.19 \pm 0.08\)

\(18.00 \pm 0.08\)

\(25.87 \pm 0.09\)

New  = RE + DC + PSSP + RBP

\(16.64 \pm 0.09\)

\(21.52 \pm 0.16\)

\(17.24 \pm 0.13\)

\(22.10 \pm 0.09\)

Basic + DC

\(17.05 \pm 0.06\)

\(24.88 \pm 0.11\)

\(17.76 \pm 0.08\)

\(25.33 \pm 0.14\)

Basic + RE

\(17.18 \pm 0.08\)

\(25.06 \pm 0.08\)

\(17.82 \pm 0.08\)

\(25.38 \pm 0.09\)

Basic + PSSP

\(16.38 \pm 0.07\)

\(23.21 \pm 0.10\)

\(16.96 \pm 0.08\)

\(23.51 \pm 0.09\)

Basic + RBP

\(16.32 \pm 0.06\)

\(21.08 \pm 0.11\)

\(17.02 \pm 0.09\)

\(21.70 \pm 0.14\)

CbnF = Basic + DC + RE

\(17.01 \pm 0.08\)

\(24.81 \pm 0.09\)

\(17.64 \pm 0.08\)

\(25.08 \pm 0.08\)

CbnF + PSSP

\(16.21 \pm 0.08\)

\(22.92 \pm 0.09\)

\(16.78 \pm 0.08\)

\(23.23 \pm 0.07\)

CbnF + RBP

\(16.18 \pm 0.09\)

\(20.89 \pm 0.08\)

\(16.91 \pm 0.09\)

\(21.59 \pm 0.09\)

CbnF + PSSP + RBP

\(15.72 \pm 0.07\)

\(20.06 \pm 0.06\)

\(15.72 \pm 0.07\)

\(19.77 \pm 0.05\)