Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble
Vitamins are typical ligands that play critical roles in various metabolic processes. The accurate identification of the vitamin-binding residues solely based on a protein sequence is of significant importance for the functional annotation of proteins, especially in the post-genomic era, when large volumes of protein sequences are accumulating quickly without being functionally annotated.
protein-vitamin binding residue feature subspace heterogeneous svm classifier ensemble