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Investigating Receptor-ligand Systems of the Cellulosome with AFM-based Single-molecule Force Spectroscopy
Published on: December 20, 2013
Building a foundation for structure-based cellulosome design for cellulosic ethanol: Insight into cohesin-dockerin
Jiancong Xu1, Michael F Crowley, Jeremy C Smith
1Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, USA. xuj1@ornl.gov
Protein Science : a Publication of the Protein Society
|April 23, 2009
Summary
The D39N mutation disrupts cohesin-dockerin binding in cellulosomes by altering protein flexibility and hydrogen bonds. Molecular dynamics simulations quantify binding energy differences, revealing the mechanism of this crucial enzyme complex assembly.
Area of Science:
- Biochemistry
- Molecular Biology
- Structural Biology
Background:
- Cellulosomes are extracellular multienzyme complexes essential for breaking down plant biomass.
- Cohesin-dockerin interactions mediate the assembly of cellulosomal scaffolding proteins and enzymes.
Purpose of the Study:
- To investigate the molecular mechanism by which the D39N mutation disrupts cohesin-dockerin binding.
- To quantitatively compare simulation results with experimental data on binding affinity.
Main Methods:
- Molecular dynamics (MD) simulations of wild-type and D39N mutant cohesin-dockerin complexes.
- Free energy calculations, including free energy perturbation and potential of mean force (PMF).
Main Results:
- The D39N mutation significantly increases protein flexibility and alters the hydrogen-bonding network in recognition regions.
- MD simulations revealed conformational rearrangements of side chains and water molecules.
- Free energy calculations provided quantitative differences in binding energy, aligning with experimental findings.
- PMF calculations elucidated a high-free energy barrier for dissociation, indicating a stepwise binding mechanism.
Conclusions:
- The D39N mutation disrupts cellulosome assembly by affecting key hydrogen bonds and protein dynamics.
- Computational methods provide valuable insights into the molecular basis of protein-protein interactions and binding affinity.
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