Stefano Superchi 1 , Patrizia Scafato 1 , Marcin Gorecki 2 , Gennaro Pescitelli 2 . Show Affiliations »
Abstract
BACKGROUND: Quantum mechanical simulations of chiroptical properties, such as electronic circular dichroism (ECD), optical rotation (OR), and vibrational circular dichroism (VCD), have rapidly become very popular to assign the absolute configuration of novel natural products. OBJECTIVE: We review the application of the ECD/OR/VCD computational methodology to chiral metabolites of fungal origin. First, we summarize the fundamentals of the three spectroscopies; then, we focus on the specific experimental and computational issues allied to the application of their calculations. METHODS: We surveyed the entire literature describing the use of ECD/OR/VCD computations for fungal metabolites, and catalogued all papers according to the method employed and to the structural family of compounds. Then, we chose several examples to illustrate the use of the techniques and highlight the practical application of the computational approach. RESULTS: Our literature survey demonstrates that the simulation of ECD/OR/VCD spectra is nowadays widespread and accessible also to non-experts, although a good computational practice is necessary to avoid wrong assignments. ECD is still the most common technique used in the context of fungal metabolites. OR and VCD may be profitably employed when the compound of interest lacks chromophoric groups. Our examples illustrate that the combination of two or more chiroptical methods is strongly advisable in some cases, especially in the presence of high conformational flexibility, where a single technique does not lead to a safe conclusion. CONCLUSION: The ECD/OR/VCD computational approach is a reliable and versatile method to assign the absolute configuration of fungal metabolites and related natural products. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
BACKGROUND: Quantum mechanical simulations of chiroptical properties, such as electronic circular dichroism (ECD ), optical rotation (OR), and vibrational circular dichroism (VCD), have rapidly become very popular to assign the absolute configuration of novel natural products. OBJECTIVE: We review the application of the ECD /OR/VCD computational methodology to chiral metabolites of fungal origin. First, we summarize the fundamentals of the three spectroscopies; then, we focus on the specific experimental and computational issues allied to the application of their calculations. METHODS: We surveyed the entire literature describing the use of ECD /OR/VCD computations for fungal metabolites, and catalogued all papers according to the method employed and to the structural family of compounds. Then, we chose several examples to illustrate the use of the techniques and highlight the practical application of the computational approach. RESULTS: Our literature survey demonstrates that the simulation of ECD /OR/VCD spectra is nowadays widespread and accessible also to non-experts, although a good computational practice is necessary to avoid wrong assignments. ECD is still the most common technique used in the context of fungal metabolites. OR and VCD may be profitably employed when the compound of interest lacks chromophoric groups. Our examples illustrate that the combination of two or more chiroptical methods is strongly advisable in some cases, especially in the presence of high conformational flexibility, where a single technique does not lead to a safe conclusion. CONCLUSION: The ECD /OR/VCD computational approach is a reliable and versatile method to assign the absolute configuration of fungal metabolites and related natural products. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Entities: Disease
Keywords:
Structure elucidation; conformational analysis; density functional theory; electronic circular dichroism; natural products; optical rotation; vibrationalzzm321990circular dichroism
Mesh: See more »
Year: 2018
PMID: 28294053 DOI: 10.2174/0929867324666170310112009
Source DB: PubMed Journal: Curr Med Chem ISSN: 0929-8673 Impact factor: 4.530