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Table 2 The sequence and structural features extracted and the feature dimensionalities

From: SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models

Feature typeFeature ClusterDimension
SequenceAAC20
CKSAAP2400
BLOSUM62441
PSSM400
AAindex1344
Binary441
StructuralPredicted protein disordered region20
Predicted protein secondary structure84
Predicted surface accessibility147
Total 5297