Scinovex
articleTop 1% cited

A Systematic Cheminformatics Analysis of Functional Groups Occurring in Natural Products

Journal of Natural Products · 2019 · Vol. 82(5) · pp. 1258–1263
Peter ErtlTim Schuhmann

Abstract

The two most striking features that discriminate natural products from synthetic molecules are their characteristic scaffolds and unique functional groups (FGs). In this study we systematically investigate the distribution of FGs in natural products from a cheminformatics perspective by comparing FG frequencies in natural products with those found in average synthetic molecules. We thereby aim for the identification of FGs that are characteristic for molecules produced by living organisms. In our analysis we also include information about the natural origins of the structures investigated, allowing us to link the occurrence of specific FGs to the individual producing species. Our findings have the potential for being applied in a medicinal chemistry context concerning the synthesis of natural product-like libraries and natural product-inspired fragment collections. The results may be used also to support compound derivatization strategies and the design of "non-natural" natural products.

Computational Drug Discovery MethodsMicrobial Natural Products and BiosynthesisPlant biochemistry and biosynthesisCheminformaticsNatural productContext (archaeology)Natural (archaeology)ChemistryDerivatizationCombinatorial chemistryComputational biologyStereochemistryBiology

MeSH terms

CheminformaticsBiological ProductsStructure-Activity RelationshipMolecular StructureComputational BiologyCombinatorial Chemistry Techniques
Citations
322
FWCI
17.57
field-weighted impact
References
28
Percentile
99%
vs. same field & year
Citations per year
References
Fungal secondary metabolism — from biochemistry to genomics
Nature Reviews Microbiology · 2005 · 1,721 citations
Natural Products in Drug Discovery and Development
Journal of Natural Products · 1997 · 1,584 citations
Related articles
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.