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Updated: Mar 26, 2026
10:58
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
17.7K
Global informatics and physical property selection in protein sequences.
Harold A Scheraga1, S Rackovsky2
1Department of Chemistry and Chemical Biology, Baker Laboratory, Cornell University, Ithaca, NY 14853; has5@cornell.edu srr87@cornell.edu.
Summary
This study reveals that all physical properties of amino acids contain similar amounts of information. There is no overlap in information between properties, suggesting current bioinformatic models are flawed.
Area of Science:
- Bioinformatics
- Computational Biology
- Protein Science
Background:
- Understanding the relationship between amino acid physical properties and their encoded information is crucial for protein sequence analysis.
- Current bioinformatic models often rely on selected physical properties, potentially introducing biases.
Purpose of the Study:
- To quantify the informatic independence of physical properties within amino acid sequences.
- To assess the information overlap between different physical properties at various sequence lengths.
Main Methods:
- Calculation of informatic independence between physical properties of amino acids.
- Analysis of protein sequences to determine information content and overlap.
Main Results:
- No single physical property carries significantly less information than others.
- Information overlap between different properties and sequence length scales is negligible.
- Amino acid properties are largely informatically independent.
Conclusions:
- The inherent informatic independence of amino acid properties challenges current bioinformatic modeling approaches.
- Bioinformatic models selecting arbitrary subsets of physical properties may be fundamentally deficient.
- Future models should account for the independent information content of each physical property.
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