Chaos game representation of protein structures

András Fiser; Gábor E. Tusnády; István Simon

doi:10.1016/0263-7855(94)80109-6

Chaos game representation of protein structures

András Fiser, Gábor E. Tusnády, István Simon

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

78 Scopus citations

Abstract

Chaos game representation (CGR) was proposed recently to visualize nucleotide sequences as one of the first applications of this technique in the field of biochemistry.¹ In this paper we would like to demonstrate that representations similar to CGR can be generalized and applied for visualizing and analyzing protein databases. Examples of applications will be presented for investigating regularities, and motifs in the primary structure of proteins, and for analyzing possible structural attachments on the super-secondary structure level of proteins. A further application will be presented for testing structure prediction methods using CGR.

Original language	English (US)
Pages (from-to)	302-304
Number of pages	3
Journal	Journal of Molecular Graphics
Volume	12
Issue number	4
DOIs	https://doi.org/10.1016/0263-7855(94)80109-6
State	Published - Dec 1994
Externally published	Yes

Keywords

chaos game representation
fractal geometry
protein structure

ASJC Scopus subject areas

Biophysics
Biochemistry

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10.1016/0263-7855(94)80109-6

Cite this

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title = "Chaos game representation of protein structures",

abstract = "Chaos game representation (CGR) was proposed recently to visualize nucleotide sequences as one of the first applications of this technique in the field of biochemistry.1 In this paper we would like to demonstrate that representations similar to CGR can be generalized and applied for visualizing and analyzing protein databases. Examples of applications will be presented for investigating regularities, and motifs in the primary structure of proteins, and for analyzing possible structural attachments on the super-secondary structure level of proteins. A further application will be presented for testing structure prediction methods using CGR.",

keywords = "chaos game representation, fractal geometry, protein structure",

author = "Andr{\'a}s Fiser and Tusn{\'a}dy, {G{\'a}bor E.} and Istv{\'a}n Simon",

note = "Funding Information: This work was startedin the frame of a scientific collaboration project between the Hungarian Academy of Sciences and the ResearchC ouncil of Norway, and was supportedb y researchg rant OTKA 1361 and 12890.F iser and Tusnady appreciates upport from the foundation “For Hungarian Science.” The authors are grateful for helpful discussions with Professor Dietmar Kamp, Professor Ferenc Vonderviszt, and Dr. Peter Tompa.",

year = "1994",

month = dec,

doi = "10.1016/0263-7855(94)80109-6",

language = "English (US)",

volume = "12",

pages = "302--304",

journal = "Journal of Molecular Graphics",

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TY - JOUR

T1 - Chaos game representation of protein structures

AU - Fiser, András

AU - Tusnády, Gábor E.

AU - Simon, István

N1 - Funding Information: This work was startedin the frame of a scientific collaboration project between the Hungarian Academy of Sciences and the ResearchC ouncil of Norway, and was supportedb y researchg rant OTKA 1361 and 12890.F iser and Tusnady appreciates upport from the foundation “For Hungarian Science.” The authors are grateful for helpful discussions with Professor Dietmar Kamp, Professor Ferenc Vonderviszt, and Dr. Peter Tompa.

PY - 1994/12

Y1 - 1994/12

N2 - Chaos game representation (CGR) was proposed recently to visualize nucleotide sequences as one of the first applications of this technique in the field of biochemistry.1 In this paper we would like to demonstrate that representations similar to CGR can be generalized and applied for visualizing and analyzing protein databases. Examples of applications will be presented for investigating regularities, and motifs in the primary structure of proteins, and for analyzing possible structural attachments on the super-secondary structure level of proteins. A further application will be presented for testing structure prediction methods using CGR.

AB - Chaos game representation (CGR) was proposed recently to visualize nucleotide sequences as one of the first applications of this technique in the field of biochemistry.1 In this paper we would like to demonstrate that representations similar to CGR can be generalized and applied for visualizing and analyzing protein databases. Examples of applications will be presented for investigating regularities, and motifs in the primary structure of proteins, and for analyzing possible structural attachments on the super-secondary structure level of proteins. A further application will be presented for testing structure prediction methods using CGR.

KW - chaos game representation

KW - fractal geometry

KW - protein structure

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DO - 10.1016/0263-7855(94)80109-6

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JO - Journal of Molecular Graphics

JF - Journal of Molecular Graphics

IS - 4

ER -

Chaos game representation of protein structures

Abstract

Keywords

ASJC Scopus subject areas

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