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SeMPI: a genome-based secondary metabolite prediction and identification web server
2017
Nucleic Acids Research
The secondary metabolism of bacteria, fungi and plants yields a vast number of bioactive substances. The constantly increasing amount of published genomic data provides the opportunity for an efficient identification of gene clusters by genome mining. Conversely, for many natural products with resolved structures, the encoding gene clusters have not been identified yet. Even though genome mining tools have become significantly more efficient in the identification of biosynthetic gene clusters,
doi:10.1093/nar/gkx289
pmid:28453782
pmcid:PMC5570227
fatcat:kr5tzd2rdjawvax6jjtrmpureq