Detail publikace

Protein Hotspot Prediction Using S-Transform

KAŠPÁREK, J. MADĚRÁNKOVÁ, D. TKACZ, E.

Originální název

Protein Hotspot Prediction Using S-Transform

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Protein hotspots prediction, signal processing, electron-ion interaction potential, resonant recognition model protein sequence, S-transform, time-frequency analysis

Autoři

KAŠPÁREK, J.; MADĚRÁNKOVÁ, D.; TKACZ, E.

Rok RIV

2014

Vydáno

1. 6. 2014

Nakladatel

Springer International Publishing

Místo

Německo

ISSN

2194-5357

Periodikum

Advances in Intelligent Systems and Computing

Ročník

283

Číslo

6

Stát

Švýcarská konfederace

Strany od

327

Strany do

336

Strany počet

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"
}