Structural characterisation of natural products by means of quantum chemical calculations of NMR parameters: new insights. Issue 9 (3rd March 2021)

• Record Type: Journal Article
• Authors: Costa, Fabio L. P.; de Albuquerque, Ana C. F.; Fiorot, Rodolfo G.; Lião, Luciano M.; Martorano, Lucas H.; Mota, Gunar V. S.; Valverde, Alessandra L.; Carneiro, José W. M.; dos Santos Junior, Fernando M.
• Is Part Of: Organic chemistry frontiers. Volume 8:Issue 9(2021)
• Page Start: 2019
• Page End: 2058
• Publication Date: 2021-03-03
• Subjects: Chemistry, Organic -- Periodicals; 547.005
• DOI: 10.1039/d1qo00034a
• Languages: English
• ISSNs: 2052-4110

Abstract

Abstract : In this review, we focus in all aspects of NMR simulation of natural products, from the fundamentals to the new computational toolboxes available, combining advanced quantum chemical calculations with upstream data processing and machine learning. Abstract : In the early 2000s, the first articles regarding the calculation of NMR parameters for natural products appeared in the literature. Since then, modelling 1 H and 13 C chemical shifts and spin–spin coupling constants for this class of compounds has experienced a remarkable increase in precision, accessibility, and application, leading to considerable advances in the field. More recently, significant contributions from several authors have led to continuous growth in this research field, updating and broadening the simulation of NMR parameters, in particular with the application of new techniques for data treatment. Nowadays, such studies are routinely found in the high impact literature. In this review, we intend to cover the general guidelines and the main advances in NMR calculations of natural products published since 2012. We intend to address the bottlenecks of quantum chemical calculations of NMR parameters, including mathematical definitions, updates, and a discussion of relevant examples, and to highlight novel tools, for example DU8+, CP3, DP4, DP4+ and J -DP4. We will cover all aspects of NMR simulation focusing on natural products, from the fundamentals to the new computational toolboxes available, combining advanced quantum chemical calculations with complex upstream data processing and machine learning.