Theoretical Study of Natural Product Biosynthesis Using Computational Chemistry

Area of Science:

• Biochemistry
• Computational Chemistry
• Natural Products Chemistry

Background:

• Biosynthetic pathways of natural products are intricate and challenging to fully understand using experimental methods alone.
• Integrating computational and experimental approaches has become crucial for elucidating complex biosynthetic reaction mechanisms.
• Terpenes represent a diverse class of natural products with significant biological activities and complex structures.

Purpose of the Study:

• To review and discuss the application of computational chemistry in elucidating the biosynthetic pathways of various terpene compounds.
• To highlight the synergy between computational and experimental methods in natural product biosynthesis research.
• To provide insights into the detailed reaction mechanisms of terpene formation.

Main Methods:

• Computational chemistry techniques, including quantum mechanics and molecular dynamics simulations.
• Analysis of proposed biosynthetic pathways and reaction intermediates.
• Comparison of computational predictions with experimental findings.

Main Results:

• Computational studies have successfully elucidated key steps and intermediates in the biosynthesis of cyclooctatin, sesterfisherol, quiannulatene, trichobrasilenol, asperterpenol, preasperterpenoid, spiroviolene, and mangicol.
• The combined approach provides a deeper understanding of enzyme mechanisms and reaction stereochemistry.
• Computational models accurately predict or explain experimental observations in terpene biosynthesis.

Conclusions:

• Computational chemistry is an indispensable tool for unraveling complex natural product biosynthetic pathways.
• The integration of computational and experimental methods accelerates the discovery and understanding of terpene biosynthesis.
• This review underscores the power of computational approaches in advancing natural product chemistry.