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16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Hydropathy analysis to correlate structure and function of proteins
Lakshminarasimhan Damodharan1, Vasantha Pattabhi
1Department of Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai 600 025, India.
Biochemical and Biophysical Research Communications
|September 24, 2004
Summary
The hydropathy index of amino acids helps predict protein function. Conserved hydropathy cluster locations across protein classes suggest a method for identifying the function of unknown proteins.
Area of Science:
- Biochemistry
- Structural Biology
- Bioinformatics
Background:
- The post-genomic era has yielded numerous protein structures, but many protein functions remain uncharacterized.
- Identifying protein function is crucial for understanding biological processes and disease mechanisms.
Purpose of the Study:
- To explore the utility of amino acid hydropathy index in predicting the function of structurally characterized but functionally unknown proteins.
- To investigate if hydropathy cluster distribution patterns are conserved within protein classes.
Main Methods:
- Calculation of average hydropathy index for five-residue windows along protein sequences.
- Hydropathy cluster analysis to identify hydrophobic regions.
- Comparative analysis of hydropathy cluster distribution across different protein classes.
Main Results:
- The distribution patterns of hydropathy clusters appear to be conserved within specific protein classes.
- This conserved distribution suggests a potential correlation between hydropathy patterns and protein function.
Conclusions:
- Hydropathy cluster analysis is a promising approach for inferring the function of proteins with known structures but unknown roles.
- The conserved nature of hydropathy cluster locations across protein classes offers a novel avenue for functional annotation in proteomics.
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