Global informatics and physical property selection in protein sequences

Harold A. Scheraga; S. Rackovsky

doi:10.1073/pnas.1525745113

Global informatics and physical property selection in protein sequences

Harold A. Scheraga, S. Rackovsky

Icahn School of Medicine at Mount Sinai

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Pages (from-to)	1808-1810
Number of pages	3
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	113
Issue number	7
DOIs	https://doi.org/10.1073/pnas.1525745113
State	Published - 16 Feb 2016

Keywords

Fourier analysis
Information theory
Physical properties
Protein bioinformatics

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10.1073/pnas.1525745113

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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.",

keywords = "Fourier analysis, Information theory, Physical properties, Protein bioinformatics",

author = "Scheraga, {Harold A.} and S. Rackovsky",

note = "Funding Information: This research was supported by NIH Grant GM-14312 and National Science Foundation Grant MCB-10-19767.",

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AU - Rackovsky, S.

N1 - Funding Information: This research was supported by NIH Grant GM-14312 and National Science Foundation Grant MCB-10-19767.

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Y1 - 2016/2/16

N2 - 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.

AB - 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.

KW - Fourier analysis

KW - Information theory

KW - Physical properties

KW - Protein bioinformatics

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DO - 10.1073/pnas.1525745113

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JF - Proceedings of the National Academy of Sciences of the United States of America

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ER -

Global informatics and physical property selection in protein sequences

Abstract

Keywords

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