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Published on: April 8, 2020
Computational Study on the Conformations of Gambogic Acid
Haining Liu1, Atreyi Dasmahapatra, Robert J Doerksen
1Department of Medicinal Chemistry, School of Pharmacy, University of Mississippi, University MS 38677-1848 USA.
Summary
Computational methods reveal preferred conformations for gambogic acid. AMBER* and B3LYP methods identified potential misassignments in the crystal structure
Area of Science:
- Computational Chemistry
- Molecular Modeling
- Organic Chemistry
Background:
- Gambogic acid is a natural compound with potential therapeutic applications.
- Understanding its three-dimensional structure (conformations) is crucial for its mechanism of action.
- Previous structural studies may contain inaccuracies.
Purpose of the Study:
- To investigate the conformational landscape of gambogic acid using various computational methods.
- To compare the results from different force fields and quantum mechanical methods.
- To identify the most accurate computational model for predicting gambogic acid's structure and to validate against experimental data.
Main Methods:
- Utilized molecular mechanics force fields (MM3*, AMBER*, MMFFs, OPLS2005) and density functional theory (B3LYP).
- Studied a model molecule to assess method performance and conformer generation.
- Generated and analyzed conformers for the actual gambogic acid molecule.
Main Results:
- MM3* and AMBER* methods accurately predicted the number of conformers for key rings (1-4) compared to B3LYP.
- A preferred conformation for gambogic acid was identified using AMBER* and B3LYP, aligning well with crystal structure data.
- Discrepancies suggest potential misassignments in specific bonds (H43, C25=C26, C30=C31) within the experimental crystal structure.
Conclusions:
- AMBER* and B3LYP are reliable computational methods for studying gambogic acid conformations.
- The study provides a refined conformational model for gambogic acid.
- Highlights potential errors in existing experimental structural data, necessitating re-evaluation.
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