2018
DOI: 10.1039/c8np00011e
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Recent trends in the structural revision of natural products

Abstract: Covering: 2012 to 2017 This article reviews recent reports on the structural revision of natural products. Through a critical assessment of the original and revised published structures, the article addresses why each structure was targeted for revision, discusses the techniques and key discrepancies that led to the proposal of the revised structure, and offers measures that may have been taken during the original structure determination to prevent error. With the revised structures in hand, weaknesses of orig… Show more

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Cited by 145 publications
(148 citation statements)
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References 134 publications
(158 reference statements)
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“…[1] However,m isinterpretations of spectroscopic and/or physical data have often been known to result in structural misassignments.S uch occurrences are particularly prevalent in the natural product (NP) arena, where complex atom connectivities and stereochemical complexity abound. [3] There are now numerous in silico methods to help with structure elucidation by predicting spectra (e.g., NMR, [4] ECD [5] )from chemical structure input or conversely by predicting chemical structure from spectroscopic data (e.g.,A CDLabs [6] ). [3] There are now numerous in silico methods to help with structure elucidation by predicting spectra (e.g., NMR, [4] ECD [5] )from chemical structure input or conversely by predicting chemical structure from spectroscopic data (e.g.,A CDLabs [6] ).…”
Section: In Memory Of Paul Von Raguø Schleyer and Julius Bredtmentioning
confidence: 99%
See 1 more Smart Citation
“…[1] However,m isinterpretations of spectroscopic and/or physical data have often been known to result in structural misassignments.S uch occurrences are particularly prevalent in the natural product (NP) arena, where complex atom connectivities and stereochemical complexity abound. [3] There are now numerous in silico methods to help with structure elucidation by predicting spectra (e.g., NMR, [4] ECD [5] )from chemical structure input or conversely by predicting chemical structure from spectroscopic data (e.g.,A CDLabs [6] ). [3] There are now numerous in silico methods to help with structure elucidation by predicting spectra (e.g., NMR, [4] ECD [5] )from chemical structure input or conversely by predicting chemical structure from spectroscopic data (e.g.,A CDLabs [6] ).…”
Section: In Memory Of Paul Von Raguø Schleyer and Julius Bredtmentioning
confidence: 99%
“…[2] Considering the extensive time and spectroscopic demands (e.g., NMR, IR, UV-vis,MS, CD) involved in correctly elucidating an ovel natural product, the prevalence of misassignments in the literature is perhaps understandable. [3] There are now numerous in silico methods to help with structure elucidation by predicting spectra (e.g., NMR, [4] ECD [5] )from chemical structure input or conversely by predicting chemical structure from spectroscopic data (e.g.,A CDLabs [6] ). Yeti ns pite of these new technologies, misassignments continue to appear.X -ray crystallographic analysis in principle enables definitive structural elucidation, but in the NP arena the requisite quantities of material and suitable crystals are not always available,a nd furthermore misinterpretations are not unprecedented.…”
Section: In Memory Of Paul Von Raguø Schleyer and Julius Bredtmentioning
confidence: 99%
“…Such occurrences are particularly prevalent in the natural product (NP) arena, where complex atom connectivities and stereochemical complexity abound . Considering the extensive time and spectroscopic demands (e.g., NMR, IR, UV‐vis, MS, CD) involved in correctly elucidating a novel natural product, the prevalence of misassignments in the literature is perhaps understandable . There are now numerous in silico methods to help with structure elucidation by predicting spectra (e.g., NMR, ECD) from chemical structure input or conversely by predicting chemical structure from spectroscopic data (e.g., ACDLabs).…”
Section: Figurementioning
confidence: 99%
“…Chinese herbal medicine are important sources of anticancer drug development [10,11]. Parthenolide, an abundant sesquiterpene, which was first found in the medicinal plant feverfew (Tanacetum parthenium) [12].…”
Section: Introductionmentioning
confidence: 99%