Prediction of presynaptic and postsynaptic neurotoxins by the increment of diversity.

Presynaptic and postsynaptic neurotoxins have very important application in basic research and drug design. The successful prediction of neurotoxin is becoming an important task in recent years. In this study, based on the concept of Chou's pseudo-amino acid compositions, an algorithm of increment of diversity (ID) is proposed for predicting presynaptic and postsynaptic neurotoxins. The results of jackknife test show that the accuracies of prediction are 90.23% for presynaptic neurotoxins and 89.40% for postsynaptic neurotoxins. In addition, toxins and non-toxins are also predicted by using this algorithm.

[1]  Gajendra P. S. Raghava,et al.  Prediction of Neurotoxins Based on Their Function and Source , 2007, Silico Biol..

[2]  Liaofu Luo,et al.  Splice site prediction with quadratic discriminant analysis using diversity measure. , 2003, Nucleic acids research.

[3]  Hao Lin,et al.  Predicting conotoxin superfamily and family by using pseudo amino acid composition and modified Mahalanobis discriminant. , 2007, Biochemical and biophysical research communications.

[4]  Kuo-Chen Chou,et al.  Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes , 2005, Bioinform..

[5]  Ying-Li Chen,et al.  Prediction of the subcellular location of apoptosis proteins. , 2007, Journal of theoretical biology.

[6]  Gajendra P. S. Raghava,et al.  BTXpred: Prediction of Bacterial Toxins , 2007, Silico Biol..

[7]  K. Chou,et al.  Prediction of protein structural classes. , 1995, Critical reviews in biochemistry and molecular biology.

[8]  K. Chou,et al.  Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location* , 2002, The Journal of Biological Chemistry.

[9]  Q. Z. Li,et al.  The prediction of the structural class of protein: application of the measure of diversity. , 2001, Journal of theoretical biology.

[10]  R. Laxton.  The measure of diversity. , 1978, Journal of theoretical biology.

[11]  Guoli Wang,et al.  PISCES: a protein sequence culling server , 2003, Bioinform..

[12]  Ying-Li Chen,et al.  Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition. , 2007, Journal of theoretical biology.

[13]  Cesare Montecucco,et al.  Presynaptic enzymatic neurotoxins , 2006, Journal of neurochemistry.

[14]  P Gopalakrishnakone,et al.  Four new postsynaptic neurotoxins from Naja naja sputatrix venom: cDNA cloning, protein expression, and phylogenetic analysis. , 1998, Toxicon : official journal of the International Society on Toxinology.

[15]  Xiaoyong Zou,et al.  Using pseudo-amino acid composition and support vector machine to predict protein structural class. , 2006, Journal of theoretical biology.

[16]  K. Chou.  Prediction of protein cellular attributes using pseudo‐amino acid composition , 2001, Proteins.

[17]  K. Chou,et al.  Using Pair-Coupled Amino Acid Composition to Predict Protein Secondary Structure Content , 1999, Journal of protein chemistry.

[18]  Lei Yao,et al.  ATDB: a uni-database platform for animal toxins , 2007, Nucleic Acids Res..

[19]  K. Chou,et al.  Prediction of protein secondary structure content. , 1999, Protein engineering.