Literature DB >> 29323895

Computer-Assisted 3D Structure Elucidation (CASE-3D) of Natural Products Combining Isotropic and Anisotropic NMR Parameters.

Armando Navarro-Vázquez1, Roberto R Gil2, Kirill Blinov3.   

Abstract

A computer-assisted structural elucidation (CASE-3D) strategy based on the use of isotropic and/or anisotropic NMR data is proposed to elucidate relative configuration and preferred conformation in complex natural products. The methodology involves the selection of conformational models through the use of the Akaike Information Criterion and scoring of the different configurations. As illustrative examples, the methodology furnished the correct configuration of the already known compounds artemisinin (1) and homodimericin A (2). Revised structures (5 and 6), including their absolute configuration, for the recently reported curcusones I (3) and J (4) are proposed.

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Year:  2018        PMID: 29323895     DOI: 10.1021/acs.jnatprod.7b00926

Source DB:  PubMed          Journal:  J Nat Prod        ISSN: 0163-3864            Impact factor:   4.050


  16 in total

1.  Synergism of anisotropic and computational NMR methods reveals the likely configuration of phormidolide A.

Authors:  Ikenna E Ndukwe; Xiao Wang; Nelson Y S Lam; Kristaps Ermanis; Kelsey L Alexander; Matthew J Bertin; Gary E Martin; Garrett Muir; Ian Paterson; Robert Britton; Jonathan M Goodman; Eric J N Helfrich; Jörn Piel; William H Gerwick; R Thomas Williamson
Journal:  Chem Commun (Camb)       Date:  2020-07-09       Impact factor: 6.222

2.  Characterization by Empirical and Computational Methods of Dictyospiromide, an Intriguing Antioxidant Alkaloid from the Marine Alga Dictyota coriacea.

Authors:  Pengcheng Yan; Ge Li; Chaojie Wang; Jianzhang Wu; Zhongmin Sun; Gary E Martin; Xiao Wang; Mikhail Reibarkh; Josep Saurí; Kirk R Gustafson
Journal:  Org Lett       Date:  2019-09-06       Impact factor: 6.005

3.  The Advanced Floating Chirality Distance Geometry Approach-How Anisotropic NMR Parameters Can Support the Determination of the Relative Configuration of Natural Products.

Authors:  Matthias Köck; Michael Reggelin; Stefan Immel
Journal:  Mar Drugs       Date:  2020-06-24       Impact factor: 5.118

Review 4.  Residual Dipolar Couplings in Structure Determination of Natural Products.

Authors:  Gao-Wei Li; Han Liu; Feng Qiu; Xiao-Juan Wang; Xin-Xiang Lei
Journal:  Nat Prod Bioprospect       Date:  2018-06-25

Review 5.  Computationally-assisted discovery and structure elucidation of natural products.

Authors:  Alfarius Eko Nugroho; Hiroshi Morita
Journal:  J Nat Med       Date:  2019-05-15       Impact factor: 2.343

6.  Configuration determination by residual dipolar couplings: accessing the full conformational space by molecular dynamics with tensorial constraints.

Authors:  Pavleta Tzvetkova; Ulrich Sternberg; Thomas Gloge; Armando Navarro-Vázquez; Burkhard Luy
Journal:  Chem Sci       Date:  2019-07-29       Impact factor: 9.825

7.  Conformational Investigations in Flexible Molecules Using Orientational NMR Constraints in Combination with 3J-Couplings and NOE Distances.

Authors:  Christophe Farès; Julia B Lingnau; Cornelia Wirtz; Ulrich Sternberg
Journal:  Molecules       Date:  2019-12-03       Impact factor: 4.411

8.  Model-Free Approach for the Configurational Analysis of Marine Natural Products.

Authors:  Matthias Köck; Michael Reggelin; Stefan Immel
Journal:  Mar Drugs       Date:  2021-05-21       Impact factor: 5.118

9.  Selective Nuclear Magnetic Resonance Experiments for Sign-Sensitive Determination of Heteronuclear Couplings: Expanding the Analysis of Crude Reaction Mixtures.

Authors:  Guilherme Dal Poggetto; João Vitor Soares; Cláudio F Tormena
Journal:  Anal Chem       Date:  2020-09-28       Impact factor: 6.986

10.  Determination of Configuration and Conformation of a Reserpine Derivative with Seven Stereogenic Centers Using Molecular Dynamics with RDC-Derived Tensorial Constraints*.

Authors:  Emine Sager; Pavleta Tzvetkova; Alvar D Gossert; Philippe Piechon; Burkhard Luy
Journal:  Chemistry       Date:  2020-10-01       Impact factor: 5.236

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