title: Global informatics and physical property selection in protein sequences.
abstract: The degree of informatic independence between the physical properties of amino acids as encoded in actual protein sequences is calculated. It is shown that no physical property can be identified that carries significantly less information than others and that the information overlap between different properties and different length scales along the sequence is essentially zero. These observations suggest that bioinformatic models based on arbitrarily selected sets of physical properties are inherently deficient.
authors.affiliation: Department of Chemistry and Chemical Biology, Baker Laboratory, Cornell University, Ithaca, NY 14853; has5@cornell.edu srr87@cornell.edu.
authors.forename: Harold A
authors.initials: HA
authors.lastname: Scheraga
authors.affiliation: Department of Chemistry and Chemical Biology, Baker Laboratory, Cornell University, Ithaca, NY 14853; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029 has5@cornell.edu srr87@cornell.edu.
authors.forename: S
authors.initials: S
authors.lastname: Rackovsky
mesh_terms: D000595:Amino Acid Sequence; D019295:Computational Biology; D005583:Fourier Analysis; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins
keywords: Fourier analysis; information theory; physical properties; protein bioinformatics
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