MicroRNAs (miRNA) have been proven to serve as important post-transcription regulators in gene expression. To understand the function of miRNAs, it is necessary to figure out the target gene of miRNAs. Here we developed a novel miRNA target predictor, miRPredictor, which is based on support vector machine (SVM) combining with feature selection procedure. We considered different types of features including the flanking sequences of the potential targets and pattern information. The features selected were also analyzed to dig out the intrinsic mechanism of miRNA-target interaction. miRPredictor is available at http://bis.zju.edu.cn/ mirpredictor/.