SCYPPred: A Web-Based Predictor of SNPs for Human Cytochrome P450

Title: SCYPPred: A Web-Based Predictor of SNPs for Human Cytochrome P450

Volume: 19 Issue: 1

Author(s): Li Li, Dong-Qing Wei, Jing-Fang Wang and Kuo-Chen Chou

Affiliation:

Keywords: Cytochrome P450, SNPs, SVM, Mutation Probability, Human cytochrome, SCYPPred, SVM flanking, hemoproteins, archaea, DNA-sequence, Vector encoding, KEGG, RBF, FN, Single Nucleotide Polymorphisms, benchmark dataset

Abstract: Human cytochrome P450(CYP 450) enzymes mediate over 60% of the phase I-dependent metabolism of clinical drugs. They are also known for the polymorphism functions that have significant impacts on the enzyme activities. In this study, a web-server called SCYPPred was developed for predicting human cytochrome P450 SNPs (Single Nucleotide Polymorphisms) based on the SVM flanking sequence method; SCYPPred can rapidly yield the desired results by using the amino acid sequences information alone. The web-server is accessible to the public at http://snppred.sjtu.edu.cn. Hopefully SCYPPred could be a useful bioinformatics tool for elucidating the mutation probability of a specific CYP450 enzyme.

Cite this article as:

Li Li, Wei Dong-Qing, Wang Jing-Fang and Chou Kuo-Chen, SCYPPred: A Web-Based Predictor of SNPs for Human Cytochrome P450, Protein & Peptide Letters 2012; 19 (1) . https://dx.doi.org/10.2174/092986612798472785