Natural products

We develop methods for predicting the structure and function of natural products and devise new algorithms for designing synthetically accessible mimetics of complex natural products.

We pursue a holistic computational approach to "de-orphaning" natural products by predicting their macromolecular targets, and use generative artificial intelligence for gerenating de novo mimetics. This way, complex natural products can be converted into synthetically easily accessible small molecules with similar biological activity. This technological concept offers a route toward sustainable drug discovery by delivering urgently sought-for natural product-derived chemical entities.  

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See the ETH News article: Understanding natural compounds

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