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Potential for dramatic improvement in sequence alignment against structures of remote homologous proteins by
Ziding Zhang1, Mats Lindstam, Johan Unge
1Department of Molecular Biophysics, Center for Chemistry and Chemical Engineering, Lund University, P.O. Box 124, SE-221 00 Lund, Sweden.
Journal of Molecular Biology
|August 30, 2003
Summary
A new protein sequence alignment method uses structural information to improve accuracy for distantly related proteins. This approach significantly boosts the chances of finding correct alignments, aiding protein structure prediction and fold identification.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Bioinformatics
Background:
- Accurate protein sequence alignment is crucial for understanding protein function and evolution.
- Existing sequence-based methods struggle with remotely homologous proteins (sequence identity < 30%).
- Integrating structural information can enhance alignment accuracy.
Purpose of the Study:
- To develop a novel method for accurate protein sequence alignment using structural information.
- To improve the identification of correct alignments for distantly related proteins.
- To enhance the application of fold identification and homology modeling.
Main Methods:
- Developed a novel alignment strategy extracting structural information from multiple structure alignment profiles.
- Employed a systematic search algorithm with score functions combining sequence and structural data.
- Selected top-scoring candidates (15,000) for further analysis.
Main Results:
- Achieved 39.8% completely correct alignments as the first candidate for proteins with < 30% sequence identity, outperforming existing methods (16.1%-22.7%).
- Found completely correct alignments within the top 1000 candidates for 88.3% of proteins, increasing to 94.3% with sequence database assistance.
- Demonstrated the feasibility of identifying correct alignments from a limited candidate set.
Conclusions:
- The novel alignment strategy significantly improves the accuracy of protein sequence alignment for remotely homologous proteins.
- This method facilitates the application of advanced techniques like fold identification and homology modeling to a broader range of proteins.
- The approach offers a more efficient pathway to identifying correct alignments, enabling further detailed structural analysis.