Revisiting chameleon sequences in the protein data bank

Mihaly Mezei

doi:10.3390/a11080114

Revisiting chameleon sequences in the protein data bank

Mihaly Mezei

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

5 Scopus citations

Abstract

The steady growth of the Protein Data Bank (PDB) suggests the periodic repetition of searches for sequences that form different secondary structures in different protein structures; these are called chameleon sequences. This paper presents a fast (nlog(n)) algorithm for such searches and presents the results on all protein structures in the PDB. The longest such sequence found consists of 20 residues.

Original language	English
Article number	114
Journal	Algorithms
Volume	11
Issue number	8
DOIs	https://doi.org/10.3390/a11080114
State	Published - 1 Aug 2018

Keywords

Chameleon sequence
Protein Data Bank
Residue propensity

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10.3390/a11080114

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title = "Revisiting chameleon sequences in the protein data bank",

abstract = "The steady growth of the Protein Data Bank (PDB) suggests the periodic repetition of searches for sequences that form different secondary structures in different protein structures; these are called chameleon sequences. This paper presents a fast (nlog(n)) algorithm for such searches and presents the results on all protein structures in the PDB. The longest such sequence found consists of 20 residues.",

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AB - The steady growth of the Protein Data Bank (PDB) suggests the periodic repetition of searches for sequences that form different secondary structures in different protein structures; these are called chameleon sequences. This paper presents a fast (nlog(n)) algorithm for such searches and presents the results on all protein structures in the PDB. The longest such sequence found consists of 20 residues.

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KW - Protein Data Bank

KW - Residue propensity

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ER -

Revisiting chameleon sequences in the protein data bank

Abstract

Keywords

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