Secondary metabolites are of great importance to pharmaceutical industry. Genes of these have been widely clustered in gene networks. These genes are co expressed and colocalized. High variability of these clusters makes it difficult to predict them through software.
Wolf et al.(2016) have developed methods for their predictions namely MIPS and CASSIS. CASSIS utilizes the feature of coregulation of promoters of clustered genes. This involves searching of common motifs in these promoters. SMIPS is a method which looks for secondary metabolite key enzymes.
CASSIS and SMIPS are available at the following website: https://sbi.hki-jena.de/CASSIS
Reference:
CASSIS and SMIPS: promoter based prediction of secondary metabolite gene clusters in eukaryotic genomes.(2016) Wolf T. et al.Bioinformatics 32(8) 1138-1143