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

Area of Science:

• Organic Chemistry
• Computational Chemistry
• Structural Biology

Background:

• Elucidating the three-dimensional structure of complex natural products is crucial for understanding their biological activity.
• Traditional methods for structural elucidation can be time-consuming and may not always provide definitive answers for complex molecules.

Purpose of the Study:

• To introduce a novel computer-assisted structural elucidation (CASE-3D) strategy for determining relative configuration and preferred conformation in complex natural products.
• To validate the proposed methodology using known compounds and propose revised structures for recently reported natural products.

Main Methods:

• Utilizing isotropic and/or anisotropic Nuclear Magnetic Resonance (NMR) data.
• Employing the Akaike Information Criterion for conformational model selection.
• Scoring different configurations to determine the most plausible structure.

Main Results:

• The CASE-3D methodology successfully elucidated the correct configuration of known compounds, artemisinin and homodimericin A.
• Revised structures, including absolute configurations, were proposed for curcusones I and J.

Conclusions:

• The proposed CASE-3D strategy provides an effective computational approach for the structural elucidation of complex natural products.
• This method aids in confirming existing structures and revising potentially incorrect ones, enhancing the accuracy of natural product databases.