
Accelerated Dereplication of Natural Products, Supported by Reference Libraries
Author(s) -
Jens Bitzer,
Bärbel Köpcke,
Marc Stadler,
Veronika Hellwig,
YuMing Ju,
Stephan Seip,
Thomas Henkel
Publication year - 2007
Publication title -
chimia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.387
H-Index - 55
eISSN - 2673-2424
pISSN - 0009-4293
DOI - 10.2533/chimia.2007.332
Subject(s) - drug discovery , computer science , process (computing) , biochemical engineering , throughput , task (project management) , computational biology , chemistry , biology , systems engineering , engineering , biochemistry , telecommunications , wireless , operating system
Natural products are an indispensable source for drug discovery. The major challenge for exploiting this evolutionary optimized pool of potential lead structures is the fast and reliable recognition of known compounds, i. e. dereplication. This task is essential for the discovery process in high-throughput screening scenarios, since it allows the focus to be placed on novel chemical structures at an early stage. Furthermore, information on identified compounds will help to rationalize observed bioactivities. This article describes an effective, library-supported strategy for the dereplication of crude extracts and pre-fractionated samples, using an HPLC-based multidetector platform and NMR techniques, respectively.