Related Experiment Videos
Effective fragment potentials and spectroscopy at enzyme active sites
1Center for Advanced Research in Biotechnology, Rockville, MD 20850.
Computers & Chemistry
|March 1, 1995
Summary
This study introduces an effective fragment potential (EFP) to model biochemical active sites for spectroscopy. This method accurately captures local fields and hydrogen-bonds, enabling detailed analysis of enzyme active sites.
Area of Science:
- Computational Chemistry
- Biochemistry
- Spectroscopy
Background:
- Spectroscopy of biochemical active sites is complex due to local fields and hydrogen-bonds.
- Accurate quantum mechanical calculations of entire biomolecules are computationally infeasible.
- Modeling active sites requires methods that account for environmental influences.
Purpose of the Study:
- To develop and implement an effective fragment potential (EFP) method for modeling biochemical active sites.
- To apply the EFP approach to study spectroscopic properties of enzyme active sites.
- To investigate the influence of hydrogen-bonds and local structures on spectral shifts.
Main Methods:
- Dividing the biomolecule into a quantum mechanically described active region (A) and a spectator region (S).
- Replacing the all-electron interaction between A and S with an effective fragment potential (EFP).
- Deriving EFP from ab initio calculations of S electronic properties and interactions, implemented in GAMESS.
- Analyzing rhodanese and glutathione bound to glutathione S-transferase using EFP-based spectroscopy.
Main Results:
- The EFP method successfully models the interactions between active and spectator regions.
- Spectroscopic analysis revealed the impact of specific hydrogen-bonds on spectral shifts.
- Local helical structures were shown to influence spectral properties.
Conclusions:
- The EFP approach provides a computationally viable method for studying spectroscopy at biochemical active sites.
- This method accurately accounts for environmental effects like hydrogen-bonds and local fields.
- The findings aid in understanding enzyme mechanisms and interpreting spectroscopic data.