Follows an ab-initio approach and predicts the correct order of the substrates which constitute the secondary metabolite. SeMPI is a web server that successfully combines and complements available polyketide prediction methods with a unique database matching algorithm. This online method provides insights into putative molecule structures, and can help researchers to understand the syntheses steps of the gene clusters much better. Finally, this web server enables researchers to identify promising gene clusters more efficiently and prevent them from investing great efforts in structure determination of a cluster product.
Pharmaceutical Bioinformatics, Institute of Pharmaceutical Science, Albert-Ludwigs-University, Freiburg, Germany; Freiburg Institute for Advanced Studies (FRIAS), Albert-Ludwigs-University, Freiburg, Germany
SeMPI funding source(s)
This work was supported by German National Research Foundation [DFG, Research Training Group 1976].