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Bridging the gap between ribosome structure and biochemistry by mechanistic computations
Johan Aqvist1, Christoffer Lind, Johan Sund
1Department of Cell and Molecular Biology, Uppsala University, Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden. aqvist@xray.bmc.uu.se
Current Opinion in Structural Biology
|August 14, 2012
Summary
Computational biochemistry faces challenges modeling the ribosome
Area of Science:
- Biochemistry
- Computational Biology
- Structural Biology
Background:
- Abundant structural and biochemical data for protein synthesis on the ribosome.
- Complexity of the ribosomal translation cycle presents modeling challenges.
Purpose of the Study:
- To explore computational approaches for understanding ribosome function.
- To address challenges in modeling the complex translation cycle.
Main Methods:
- Molecular dynamics simulations
- Free energy calculations
- Molecular docking
- Quantum chemical approaches
Main Results:
- Methodologies applied show promising results in studying ribosome systems.
- Combined approaches offer a path towards quantitative, structure-based translation descriptions.
Conclusions:
- Computational biochemistry is beginning to tackle ribosome complexity.
- Integrated structural biology, biochemistry, kinetics, and computational modeling are key.
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