Figure 6
From: Prediction of disulfide bond engineering sites using a machine learning method
The relevance of the distance features to the classification outcome. Out of the 45 unique distances, 20 distances have negligible influence on the classification performance. The distances between Cβ and main chain atoms of the pairing residue are important features in disulfide bond classifications.
