| Journal of computational biology: A journal of computational molecular cell biology | |
| New Approach to Detect Coiled Coil and Leucine Zipper Motifs in Protein Sequences | |
| DinkoOsmankovic^1,21  SemirDoric^32  LadaLukic Bilela^43  NarisPojskic^34  | |
| [1] Address correspondence to: Dr. Dinko Osmankovic, Department of Automatic Control and Electronics, Faculty of Electrical Engineering, University of Sarajevo, Zmaja od Bosne 8, Sarajevo 71000, Bosnia and Herzegovina^1;Department of Automatic Control and Electronics, Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina^2;Department of Biology, Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina^4;Laboratory for Bioinformatics and Biostatistics, Institute for Genetic Engineering and Biotechnology, University of Sarajevo, Sarajevo, Bosnia and Herzegovina^3 | |
| 关键词: coiled coil; K means clustering; leucine zipper; protein scale.; | |
| DOI : 10.1089/cmb.2018.0104 | |
| 学科分类:生物科学(综合) | |
| 来源: Mary Ann Liebert, Inc. Publishers | |
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【 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.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201910254193454ZK.pdf | 353KB |
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