Detail publikace

Correlated Mutation Analysis Improvement by Proteomic Signal Processing

KUPKOVÁ, K. SEDLÁŘ, K. PROVAZNÍK, I.

Originální název

Correlated Mutation Analysis Improvement by Proteomic Signal Processing

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Correlated mutation analysis has become a powerful tool in protein contact prediction based on multiple sequence alignments of homologous proteins. Here, we introduce a novel method for the computation of correlated mutations based on prior transformation of protein sequences into their numerical form, which provides important biological properties about the amino acids. The method is then incorporated into a compact technique replacing the previously proposed Jaccard index. This results in the significant improvement of all of the statistical parameters used in this study.

Klíčová slova

correlated mutations; protein contact map; numerical representation

Autoři

KUPKOVÁ, K.; SEDLÁŘ, K.; PROVAZNÍK, I.

Vydáno

29. 8. 2016

Místo

Brno

ISBN

978-80-214-5389-0

Kniha

Sborník příspěvků studentské konference Blansko 2016

Číslo edice

1

Strany od

47

Strany do

50

Strany počet

105

URL

BibTex

@inproceedings{BUT127645,
  author="Kristýna {Kupková} and Karel {Sedlář} and Valentine {Provazník}",
  title="Correlated Mutation Analysis Improvement by
Proteomic Signal Processing",
  booktitle="Sborník příspěvků studentské konference Blansko 2016",
  year="2016",
  number="1",
  pages="47--50",
  address="Brno",
  isbn="978-80-214-5389-0",
  url="http://www.radio.feec.vutbr.cz/ieee/userfiles/downloads/archive/2016-Blansko/Sbornik_Blansko_2016.pdf"
}