Protein hotspot prediction using s-transform

被引：6
作者：
机构：
[1] Brno University of Technology, Department of Biomedical Engineering, Technicka 3058/12, Brno
[2] Institute of Theoretical and Applied Informatics Polish Academy of Sciences, Bałtyka Street 5, Gliwice
来源：
| 1600年 / Springer Verlag卷 / 283期
关键词：
Electron-ion interaction potential; Protein hotspots prediction; Protein sequence; Resonant recognition model; S-transform; Signal processing; Time-frequency analysis;
D O I：
10.1007/978-3-319-06593-9_29
中图分类号：
学科分类号：
摘要：
Since experimental techniques of protein hotspot prediction are still financially extremely demanding and time consuming there is a strain to produce sufficiently reliable computational techniques for this particular task. We propose an algorithm based on Resonant Recognition Model relying heavily on signal processing techniques. Processed numerical signal is obtain solely form protein sequence using physical quantity EIIP. We therefore use no information of protein structure. The key element here is a time-frequency analysis tool – S-transform. This allows us to determine exact residues responsible for majority of performance on protein’s characteristic frequency. We achieve basic sensitivity of 85% and PPV 49%, while demanding very little computing resources, because simplicity is one of the biggest advantages of our approach. © Springer International Publishing Switzerland 2014.
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页码：327 / 336
页数：9
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