Related Experiment Videos
Comparison of systematic search and database methods for constructing segments of protein structure
K Fidelis1, P S Stern, D Bacon
1Center for Advanced Research in Biotechnology, University of Maryland, Rockville 20850.
Protein Engineering
|August 1, 1994
Summary
Comparing protein structure prediction methods, a systematic search effectively models short polypeptide segments. The database method shows limitations for comparative modeling, especially with longer protein regions.
Area of Science:
- Structural biology
- Computational biology
Background:
- Determining protein backbone conformation is crucial for understanding protein function.
- Two primary methods exist: database comparison and systematic conformation generation.
Purpose of the Study:
- To compare the effectiveness of database-driven and systematic search methods for predicting short polypeptide conformations.
- To evaluate their suitability for comparative modeling in protein structure prediction.
Main Methods:
- Assessed database completeness for polypeptide segments of varying lengths.
- Evaluated systematic generation of all possible conformations.
- Tested methods for incorporating segments into existing protein structures.
Main Results:
- Database method completeness declines rapidly for segments longer than seven residues.
- Incorporating database segments into larger structures introduces significant errors.
- Systematic search generates most known short protein segment structures accurately.
- Systematic search yields low-error conformations when segments are embedded in protein structures.
Conclusions:
- The database method is currently ineffective for comparative modeling of protein segments.
- Systematic conformation generation is the preferred method for accurately modeling short polypeptide backbones in proteins.