Přístupnostní navigace
E-application
Search Search Close
Publication detail
KAŠPÁREK, J. MADĚRÁNKOVÁ, D. TKACZ, E.
Original Title
Protein Hotspot Prediction Using S-Transform
Type
journal article in Scopus
Language
English
Original Abstract
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.
Keywords
Protein hotspots prediction, signal processing, electron-ion interaction potential, resonant recognition model protein sequence, S-transform, time-frequency analysis
Authors
KAŠPÁREK, J.; MADĚRÁNKOVÁ, D.; TKACZ, E.
RIV year
2014
Released
1. 6. 2014
Publisher
Springer International Publishing
Location
Německo
ISBN
2194-5357
Periodical
Advances in Intelligent Systems and Computing
Year of study
283
Number
6
State
Swiss Confederation
Pages from
327
Pages to
336
Pages count
11
BibTex
@article{BUT110406, author="Jan {Kašpárek} and Denisa {Maděránková} and Ewaryst {Tkacz}", title="Protein Hotspot Prediction Using S-Transform", journal="Advances in Intelligent Systems and Computing", year="2014", volume="283", number="6", pages="327--336", doi="10.1007/978-3-319-06593-9\{_}29", issn="2194-5357" }