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SABBAC: online Structural Alphabet-based protein BackBone reconstruction from Alpha-Carbon trace
Julien Maupetit1, R Gautier, Pierre Tufféry
1Equipe de Bioinformatique Génomique et Moléculaire, INSERM U726, Université Paris 7, case 7113, 2, place Jussieu, 75251 Paris cedex 05, France.
Nucleic Acids Research
|July 18, 2006
Summary
SABBAC reconstructs protein backbones from alpha-carbon traces using a fragment assembly method. This online service accurately positions missing atoms, performing comparably to other approaches.
Area of Science:
- Computational Biology
- Structural Bioinformatics
- Protein Structure Prediction
Background:
- Accurate protein backbone reconstruction is crucial for understanding protein function and dynamics.
- Existing methods for protein structure determination and refinement have limitations in speed and accuracy.
- The alpha-carbon trace provides a simplified representation of protein structure.
Purpose of the Study:
- To introduce SABBAC, an online service for protein backbone reconstruction.
- To evaluate the performance and robustness of the SABBAC method.
- To provide a tool for researchers needing to complete protein backbone structures.
Main Methods:
- Utilizes a fragment library derived from a hidden Markov model-based structural alphabet.
- Employs a greedy algorithm for fragment assembly with energy-based scoring.
- Focuses on positioning missing backbone atoms without altering existing alpha-carbon coordinates.
Main Results:
- SABBAC reconstructs protein backbones from alpha-carbon traces.
- The method demonstrates performance equal to or better than similar online approaches.
- SABBAC is robust to deviations in the input alpha-carbon coordinates.
Conclusions:
- SABBAC offers an effective and robust solution for protein backbone reconstruction.
- The online service provides a valuable tool for structural bioinformatics research.
- The method's accuracy and robustness make it a reliable alternative for structure completion.
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