CORDIS Project
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This project aims to develop machine learning algorithms to identify novel biosynthetic pathways for natural products in bacteria. It focuses on understanding non-canonical biosynthesis that does not follow traditional enzymatic processes, potentially leading to new drug discoveries.
Nature is a remarkable pharmaceutical chemist.
More than 50% of approved drugs are natural products (NPs) or have drawn inspiration from them.
According to the central dogma of bacterial NP biosynthesis all transformations responsible for the formation and modification of a NP scaffold are carried out by enzymes encoded in a biosynthetic gene cluster (BGC).Sophisticated genome mining algorithms have been developed to identify NP BGCs in microbial genome sequences.
These algorithms excel in recog…
JOHANN WOLFGANG GOETHE-UNIVERSITAET FRANKFURT AM MAIN
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