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Sequence alignment of citrate synthase proteins using a multiple sequence alignment algorithm and multiple scoring
C M Henneke1, M J Danson, D W Hough
1Molecular Graphics Suite, School of Chemistry, University of Bath, UK.
Protein Engineering
|August 1, 1989
Summary
This study optimized sequence alignment methods for citrate synthase enzymes, crucial for understanding multi-subunit protein structures. Findings aid in accurate homology modeling of bacterial enzymes from animal sources.
Area of Science:
- Biochemistry
- Structural Biology
- Bioinformatics
Background:
- Citrate synthase is a key enzyme in the citric acid cycle.
- Understanding enzyme structure-function relationships is vital for drug discovery and metabolic engineering.
- Homology modeling is a powerful tool for predicting protein structures.
Purpose of the Study:
- To optimize sequence alignment techniques for citrate synthase enzymes.
- To facilitate homology modeling of Escherichia coli citrate synthase from pig heart citrate synthase.
- To investigate factors influencing accurate protein sequence alignment for multi-subunit enzymes.
Main Methods:
- Utilized six amino acid similarity scoring matrices and varied gap penalty ratios.
- Performed multiple sequence alignments of the citrate synthase enzyme family.
- Compared pairwise alignment with multiple alignment strategies.
- Evaluated the impact of 'fingerprinting' residues and computerized versus intuitive alignment.
Main Results:
- Identified optimal parameters for aligning citrate synthase sequences.
- Demonstrated the influence of alignment strategies on homology modeling accuracy.
- Assessed the effectiveness of residue-specific biasing and computational alignment tools.
Conclusions:
- Optimized alignment methods improve the accuracy of homology modeling for multi-subunit enzymes.
- Careful selection of alignment parameters is critical for reliable structural predictions.
- Computational approaches offer valuable insights into enzyme evolution and function.