Accurate Prediction and Key Feature Recognition of Immunoglobulin

Immunoglobulin, which is also called an antibody, a type of serum protein produced by B cells that can specifically bind to the corresponding antigen. Immunoglobulin closely related many diseases and plays key role in medical biological circles. Therefore, use effective methods improve accuracy immunoglobulin classification great significance for disease research. In this paper, CC–PSSM monoTriKGap were selected extract features, MRMD1.0 MRMD2.0 used reduce feature dimension, effect discriminating two–dimensional features identified single dimension reduction method from mixed was distinguish immunoglobulins. The data results indicated monoTrikGap (k = 1) accurately predict 99.5614% immunoglobulins under 5-fold cross–validation. addition, best identifying 92.1053% above proves paper reliable predicting features.