AI Article Synopsis
- Natural products (NPs) are crucial for designing biologically active compounds, inspiring both experimental and computational methods for simplifying these compounds.
- Early methods like structural classification of natural products (SCONP) and biology-oriented synthesis (BIOS) aimed to identify key scaffolds and create compound collections based on them.
- Newer techniques involve using cheminformatics to combine NP fragments into pseudo natural products (pseudo NPs), leading to innovative synthetic methods and unexpected biological activities.
Article Abstract
Covering: up to 2020 Natural products (NPs) provide inspiration for the design of biologically active compounds and libraries. In this review, we cover several experimental and in silico approaches, which have been used to simplify NPs and guide NP-based library design. Earlier approaches, like the structural classification of natural products (SCONP) and biology-oriented synthesis (BIOS), focus on the identification of activity determining scaffolds and the synthesis of corresponding compound collections. More recently, NP fragments identified by means of cheminformatic analysis of the Dictionary of Natural Products (DNP) have been combined in unprecedented fashions to yield pseudo natural products (pseudo NPs), which show biological activities unrelated to the guiding NPs. Each approach was also the source of chemical innovation, in which synthetic methods were established for the rapid assembly of NP-inspired compounds and libraries.
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| http://dx.doi.org/10.1039/d0np00015a | DOI Listing |
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