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KUPKOVÁ, K.; SEDLÁŘ, K.; PROVAZNÍK, I.
Original Title
Correlated Mutation Analysis Improvement by Proteomic Signal Processing
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
correlated mutations; protein contact map; numerical representation
Key words in English
Authors
RIV year
2017
Released
29.08.2016
Location
Brno
ISBN
978-80-214-5389-0
Book
Sborník příspěvků studentské konference Blansko 2016
Pages from
47
Pages to
50
Pages count
105
URL
http://www.radio.feec.vutbr.cz/ieee/userfiles/downloads/archive/2016-Blansko/Sbornik_Blansko_2016.pdf
BibTex
@inproceedings{BUT127645, author="Kristýna {Kupková} and Karel {Sedlář} and Valentýna {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" }