New Approach to Detect Coiled Coil and Leucine Zipper Motifs in Protein Sequences

被引：2

作者：

Osmankovic, Dinko ^{[1
]}

Doric, Semir ^{[2
]}

Pojskic, Naris ^{[2
]}

Bilela, Lada Lukic ^{[3
]}

机构：

[1] Univ Sarajevo, Fac Elect Engn, Dept Automat Control & Elect, Zmaja Bosne 8, Sarajevo 71000, Bosnia & Herceg

[2] Univ Sarajevo, Inst Genet Engn & Biotechnol, Lab Bioinformat & Biostat, Sarajevo, Bosnia & Herceg

[3] Univ Sarajevo, Fac Sci, Dept Biol, Sarajevo, Bosnia & Herceg

来源：

JOURNAL OF COMPUTATIONAL BIOLOGY | 2018年 / 25卷 / 11期

关键词：

coiled coil; K means clustering; leucine zipper; protein scale; PREDICTION; ALGORITHM;

D O I：

10.1089/cmb.2018.0104

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This article presents a new approach to detect coiled coil and leucine zipper (L-Zip) motifs in protein sequences. The approach is based on protein scale calculation and sequence analysis. For this purpose, the wavelet-based local extrema extraction is employed, and window-based variations of local extrema afterward. This, in turn, provided a way to distinguish coiled coil subsequences and potential L-Zip motifs. The approach is validated on carefully chosen protein sequences that return inconclusive results within known frameworks for L-Zip detection, for example, 2ZIP. The results show that this new approach represents an improvement over previously presented approaches.

引用

页码：1278 / 1283

页数：6

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