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11:01
Preparation and In Vivo Use of an Activity-based Probe for N-acylethanolamine Acid Amidase
Published on: November 23, 2016
Understanding structural/functional properties of amidase from Rhodococcus erythropolis by computational approaches
Wei-Wei Han1, Ying Wang, Yi-Han Zhou
1Institute of Theoretical Chemistry, State Key Laboratory of Theoretical and Computational Chemistry, Jilin University, Changchun 130023, People's Republic of China.
Journal of Molecular Modeling
|December 17, 2008
Summary
This study models the Rhodococcus erythropolis amidase 3D structure and enzyme reaction mechanism. Computational analysis reveals propionamide binds strongly, with Ser194 crucial for catalysis.
Area of Science:
- Biochemistry
- Computational Chemistry
- Enzymology
Background:
- Amidase enzymes (EC 3.5.1.4) are crucial in various biological processes.
- Understanding amidase structure and function is key to enzyme engineering and drug discovery.
- Rhodococcus erythropolis amidase is a relevant model for studying enzyme mechanisms.
Purpose of the Study:
- To determine the 3D structure of Rhodococcus erythropolis amidase using homology modeling.
- To investigate the binding interactions of propionamide and acetamide with the amidase.
- To elucidate the enzymatic reaction mechanism through computational modeling.
Main Methods:
- Homology-based modeling was employed to construct the 3D structure of the amidase.
- Molecular docking simulations were performed for propionamide and acetamide.
- Quantum mechanics calculations (B3LYP/6-31G*) were used to model the enzymatic reaction pathway.
Main Results:
- Propionamide exhibits stronger binding than acetamide due to its ethyl moiety.
- The calculated free energy barrier for the reaction is significantly lower in solution compared to gas phase.
- Serine 194 (Ser194) is essential for acyl-intermediate formation, with Glycine 193 (Gly193) playing a stabilizing role.
Conclusions:
- The study provides novel structural and mechanistic insights into Rhodococcus erythropolis amidase.
- The findings highlight the importance of specific amino acid residues (Ser194, Gly193) in the catalytic mechanism.
- This computational approach can guide further studies on amidase family enzymes.
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