Unequivocal determination of caulamidines A and B: application and validation of new tools in the structure elucidation tool box.
Dennis J MilanowskiNaoya OkuLaura K CartnerHeidi R BokeschRobert Thomas WilliamsonJosep SauríYizhou LiuKirill A BlinovYuanqing DingXing-Cong LiDaneel FerreiraLarry A WalkerShabana KhanMichael T Davies-ColemanJames A KelleyJames B McMahonGary E MartinKirk R GustafsonPublished in: Chemical science (2017)
Ambiguities and errors in the structural assignment of organic molecules hinder both drug discovery and total synthesis efforts. Newly described NMR experimental approaches can provide valuable structural details and a complementary means of structure verification. The caulamidines are trihalogenated alkaloids from a marine bryozoan with an unprecedented structural scaffold. Their unique carbon and nitrogen framework was deduced by conventional NMR methods supplemented by new experiments that define 2-bond heteronuclear connectivities, reveal very long-range connectivity data, or visualize the 35,37Cl isotopic effect on chlorinated carbons. Computer-assisted structural elucidation (CASE) analysis of the spectroscopic data for caulamidine A provided only one viable structural alternative. Anisotropic NMR parameters, specifically residual dipolar coupling and residual chemical shift anisotropy data, were measured for caulamidine A and compared to DFT-calculated values for the proposed structure, the CASE-derived alternative structure, and two energetically feasible stereoisomers. Anisotropy-based NMR experiments provide a global, orthogonal means to verify complex structures free from investigator bias. The anisotropic NMR data were fully consistent with the assigned structure and configuration of caulamidine A. Caulamidine B has the same heterocyclic scaffold as A but a different composition and pattern of halogen substitution. Caulamidines A and B inhibited both wild-type and drug-resistant strains of the malaria parasite Plasmodium falciparum at low micromolar concentrations, yet were nontoxic to human cells.
Keyphrases
- plasmodium falciparum
- high resolution
- drug resistant
- magnetic resonance
- solid state
- electronic health record
- big data
- drug discovery
- multidrug resistant
- wild type
- molecular docking
- escherichia coli
- data analysis
- transcription factor
- acinetobacter baumannii
- emergency department
- gene expression
- mass spectrometry
- machine learning
- density functional theory
- molecular dynamics
- pseudomonas aeruginosa
- multiple sclerosis
- toxoplasma gondii
- molecular dynamics simulations
- drug induced