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Adaptation of a fast Fourier transform-based docking algorithm for protein design.
Po-Ssu Huang1, John J Love, Stephen L Mayo
1Howard Hughes Medical Institute and Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA.
Journal of Computational Chemistry
|June 18, 2005
Summary
This study introduces a novel method for protein design by combining protein docking and sequence-independent design tools. The approach accurately predicts homodimer orientations, enabling the creation of proteins with new binding capabilities.
Area of Science:
- Computational biology
- Protein engineering
- Structural biology
Background:
- Protein design requires precise control over protein-protein interactions.
- Existing tools for protein docking and protein design operate independently.
Purpose of the Study:
- To develop a sequence-independent method for generating protein dimer orientations using protein docking.
- To create scaffolds for protein sequence design algorithms.
Main Methods:
- Utilized a reduced protein representation approximating side chains as spheres with radii derived from C2 symmetry-related homodimers.
- Employed a fast Fourier transform-based geometric recognition algorithm for docking reduced protein models.
- Parameterized radii to capture hydrophobic interface characteristics.
Main Results:
- Successfully predicted wild-type homodimer orientations in 65 out of 121 dimer test cases.
- Achieved a ~70% success rate for molecules with large surface area burial at the interface.
- Generated 45 predictions with less than 1 Å C(alpha) RMSD compared to native X-ray structures.
Conclusions:
- The reduced protein representation is a viable approximation for positioning protein backbones.
- This method enables plausible orientations for homodimer design.
- The approach facilitates the design of proteins with novel binding properties.