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The Buccaneer software for automated model building. 1. Tracing protein chains
1Department of Chemistry, University of York, Heslington, York YO10 5DD, England. cowtan@ysbl.york.ac.uk
Acta Crystallographica. Section D, Biological Crystallography
|August 25, 2006
Summary
A novel automated method accurately traces protein chains in electron-density maps. This technique uses a likelihood function to identify C(alpha) positions and build chain fragments for structural analysis.
Area of Science:
- Structural Biology
- Computational Biology
- Biophysics
Background:
- Determining protein structures from electron-density maps is crucial for understanding biological functions.
- Manual tracing of protein chains in electron-density maps is time-consuming and labor-intensive.
- Automated methods are needed to accelerate structural biology workflows.
Purpose of the Study:
- To develop and describe a new automated technique for tracing protein chains.
- To improve the efficiency and accuracy of protein structure determination from experimental data.
- To provide a computational tool for analyzing electron-density maps.
Main Methods:
- The technique employs an oriented electron-density likelihood target function.
- This function is iteratively applied to locate initial C(alpha) positions (seeding).
- The identified positions are then grown into extended chain fragments.
Main Results:
- Successful identification of likely C(alpha) positions within electron-density maps.
- Generation of extended protein chain fragments from initial seed points.
- Development of strategies for assembling these fragments into a complete chain trace.
Conclusions:
- The described automated technique offers a promising approach for protein chain tracing.
- This method has the potential to significantly speed up the analysis of experimental electron-density maps.
- Further development can enhance the assembly of fragments for complete structural models.
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