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Dead-end based modeling tools to explore the sequence space that is compatible with a given scaffold
I Lasters1, J Desmet, M De Maeyer
1Center for Transgene Technology and Gene Therapy, Fianders Interuniversity Institute for Biotechnology, K.U. Leuven, Belgium.
Journal of Protein Chemistry
|July 1, 1997
Summary
The dead-end elimination algorithm efficiently finds protein structures. This study enhances the algorithm for better sequence compatibility and packing predictions in protein cores.
Area of Science:
- Computational Biology
- Structural Bioinformatics
- Protein Science
Background:
- The dead-end elimination (DEE) algorithm is crucial for determining the global minimum-energy conformation (GMEC) of protein side chains with fixed backbones.
- Efficiently calculating GMEC is vital for protein homology modeling and understanding protein structure-function relationships.
Purpose of the Study:
- To enhance the efficacy of the DEE algorithm using logical arguments.
- To explore DEE's application in identifying sequences compatible with specific protein scaffolds.
- To investigate properties of GMEC structures for predicting protein core packing.
Main Methods:
- The study refines the DEE algorithm with advanced logical arguments.
- Theoretical considerations are applied to assess sequence-scaffold compatibility using DEE.
- Analysis of GMEC structures involves evaluating nonbonded energy, accessible surface area, and conformational deviations.
Main Results:
- The enhanced DEE algorithm shows increased efficiency in conformational searches.
- New theoretical insights are provided for predicting sequence compatibility with protein scaffolds.
- Properties derived from GMEC structures demonstrate potential for predicting core packing success.
Conclusions:
- The dead-end elimination algorithm is a powerful tool for protein structure prediction and analysis.
- The study advances DEE's utility in sequence compatibility and protein core packing predictions.
- Investigating GMEC properties offers a novel approach to understanding protein sequence-structure relationships.