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Updated: Jul 30, 2025
07:59
A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products
Published on: October 4, 2019
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Enhancing Efficiency of Natural Product Structure Revision: Leveraging CASE and DFT over Total Synthesis
Mikhail Elyashberg1, Sriram Tyagarajan2, Mihir Mandal2
1Advanced Chemistry Development Inc. (ACD/Labs), Toronto, ON M5C 1B5, Canada.
Molecules (Basel, Switzerland)
|May 13, 2023
Summary
Computer-Assisted Structure Elucidation (CASE) and Density Functional Theory (DFT) can prevent costly natural product structure revisions. These methods rapidly verify proposed structures, avoiding extensive synthesis and saving significant time and resources.
Area of Science:
- Natural Product Chemistry
- Computational Chemistry
- Spectroscopy
Background:
- Natural products are vital sources of biologically active compounds, with structures typically determined using spectroscopic methods.
- Erroneous structure determination is common, leading to costly revisions involving extensive data analysis, computational chemistry, and total synthesis.
- Incorrect structures can result in inactive compounds, further increasing costs when resynthesis is required.
Purpose of the Study:
- To propose Computer-Assisted Structure Elucidation (CASE) and Density Functional Theory (DFT) as tools for the preventive verification of natural product structures.
- To demonstrate the utility of CASE and DFT in elucidating correct structures when initial assignments are erroneous.
- To highlight the potential for avoiding time-consuming and expensive total synthesis in structure revision cases.
Main Methods:
- Application of CASE and DFT methods for structure verification using existing spectroscopic data (NMR, MS).
- Analysis of twelve real-world cases of natural product structure revisions.
- Comparison of the efficiency of CASE/DFT with traditional methods including total synthesis.
Main Results:
- CASE and DFT successfully verified proposed structures and elucidated correct structures in all twelve examined cases.
- Significant time savings were achieved, with correct structures identified within minutes using CASE and DFT.
- The application of CASE and DFT could have prevented the need for extensive total synthesis in all reviewed cases.
Conclusions:
- CASE and DFT offer a rapid and cost-effective approach for the preventive verification of natural product structures.
- These computational methods can significantly reduce the resources required for structure elucidation and revision.
- Implementing CASE and DFT can streamline the drug discovery process by ensuring accurate structural assignments early on.
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