Quan Gu, Yong-Sheng Ding and Tong-Liang Zhang Pages 559 - 567 ( 9 )
We use approximate entropy and hydrophobicity patterns to predict G-protein-coupled receptors. Adaboost classifier is adopted as the prediction engine. A low homology dataset is used to validate the proposed method. Compared with the results reported, the successful rate is encouraging. The source code is written by Matlab.
G-protein-coupled receptors, low homology, pseudo amino acid, approximate entropy, hydrophobicity patterns, AdaBoost
College of Information Sciences and Technology, Donghua University, Shanghai 201620, P.R. China.