2009
DOI: 10.1093/bioinformatics/btp232
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REPETITA: detection and discrimination of the periodicity of protein solenoid repeats by discrete Fourier transform

Abstract: Motivation: Proteins with solenoid repeats evolve more quickly than non-repetitive ones and their periodicity may be rapidly hidden at sequence level, while still evident in structure. In order to identify these repeats, we propose here a novel method based on a metric characterizing amino-acid properties (polarity, secondary structure, molecular volume, codon diversity, electric charge) using five previously derived numerical functions.Results: The five spectra of the candidate sequences coding for structural… Show more

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Cited by 60 publications
(59 citation statements)
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“…These lines of evidence strongly suggest that the hydrophobic/hydrophilic property of the protein is closely related to its passage through the NPC. The protein structure database contains a number of proteins with repetitive amphiphilic a-helical motifs in addition to the HEAT motif (D' Andrea and Regan, 2003;Groves and Barford, 1999;Marsella et al, 2009;Neuwald and Hirano, 2000). Although the detailed arrangements of helices (and sheets) vary from motif to motif, they are structurally flexible and involved in interaction with other proteins (Bella et al, 2008;Neuwald and Hirano, 2000;Shi, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…These lines of evidence strongly suggest that the hydrophobic/hydrophilic property of the protein is closely related to its passage through the NPC. The protein structure database contains a number of proteins with repetitive amphiphilic a-helical motifs in addition to the HEAT motif (D' Andrea and Regan, 2003;Groves and Barford, 1999;Marsella et al, 2009;Neuwald and Hirano, 2000). Although the detailed arrangements of helices (and sheets) vary from motif to motif, they are structurally flexible and involved in interaction with other proteins (Bella et al, 2008;Neuwald and Hirano, 2000;Shi, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…After DNA sequences are converted from symbolic series into numerical series, DFT can be used to analyze the information content within the DNA sequences in frequency domain. The associated Fourier power spectra reflect nucleotide distributions in the sequences, and thus have been used for detecting periodicities of protein-coding genes in genomes (Marhon and Kremer, 2011;Sharma et al, 2004;Marsella et al, 2009;Yau, 2005, 2007). Previously we presented a novel alignmentfree similarity comparison method by Fourier power spectra of DNA sequences with even scaling (Yin et al, 2014).…”
mentioning
confidence: 99%
“…Several efforts have been made during the years to improve the tools for their detection. These methods are either sequence-based [18,30] or structure-based [15] and they are used for the construction of sequence-and structure-based databases and classification. However, the protein universe cannot be explored without taking into account the relationship between amino acid sequences and their 3D structures, analysed in light of their evolutionary and functional background.…”
Section: Discussionmentioning
confidence: 99%