Prediction Of DNA regulatory motifs

A major study in molecular biology is to understand the mechanisms that regulate the expressions of genes. An important challenge in this study is to identify regulatory elements (motifs), notably the binding sites in deocsiribonucleic acid (DNA) for transcription factors. Over the past few years, numerous tools have become available for this task. Despite the large number of these proposed tools, the prediction of DNA motifs still remains as a complex challenge. In this study, a novel motif prediction method using Probabilistic Suffix Tree (PST) is proposed. Experimental results are evaluated comparatively with other motif prediction tools. Experimental results show that, the proposed method gives a better recognition rate than the compared motif prediction tools for human and mouse genomes.