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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
An automated QM/MM average protein electrostatic configuration approach for flavoproteins: APEC-F 2.0
Sarah Elhajj1, Jacopo D'Ascenzi2, Stephen O Ajagbe1
1Department of Chemistry, Georgia State University, Atlanta, Georgia 30302, USA.
APEC-F 2.0 is an automated workflow for quantum mechanical/molecular mechanical (QM/MM) modeling of flavoproteins. This tool simplifies the study of flavin cofactor properties in various biological states.
Area of Science:
- Biochemistry
- Computational Chemistry
- Structural Biology
Background:
- Flavoproteins are crucial redox proteins utilizing a flavin cofactor for diverse functions.
- Computational modeling often uses hybrid quantum mechanical/molecular mechanical (QM/MM) methods for flavoproteins.
- Existing QM/MM methods present a trade-off between accuracy of flavin electronic structure and protein dynamics sampling.
Purpose of the Study:
- To present APEC-F 2.0, an automated QM/MM workflow for constructing flavoprotein models.
- To facilitate systematic studies of flavin cofactor properties in various states.
- To enable comparative analyses across different flavoproteins and conditions.
Main Methods:
- Developed an automated QM/MM workflow (APEC-F 2.0) using open-source software.
- Employed a hybrid QM/MM approach with quantum mechanical treatment for the flavin cofactor.
- Utilized molecular dynamics to generate a superposition of protein configurations for a static molecular mechanics environment.
Main Results:
- The APEC-F 2.0 workflow automates the construction of QM/MM models for flavoproteins.
- The method leverages the flavin isoalloxazine ring's rigidity for efficient geometry optimization.
- The workflow enables systematic comparison of flavin spectral, electronic, and chemical properties.
Conclusions:
- APEC-F 2.0 offers a standardized and efficient approach for QM/MM modeling of flavoproteins.
- This tool simplifies the investigation of flavin cofactor behavior in different redox, protonation, and excited states.
- The automation facilitates broader research into the diverse roles of flavoproteins.
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