Detail publikace

Correlated Mutation Analysis Improvement by Proteomic Signal Processing

Originální název

Correlated Mutation Analysis Improvement by Proteomic Signal Processing

Anglický název

Correlated Mutation Analysis Improvement by Proteomic Signal Processing

Jazyk

en

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.

Anglický 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.

BibTex


@inproceedings{BUT127645,
  author="Kristýna {Kupková} and Karel {Sedlář} and Ivo {Provazník}",
  title="Correlated Mutation Analysis Improvement by
Proteomic Signal Processing",
  annote="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.",
  booktitle="Sborník příspěvků studentské konference Blansko 2016",
  chapter="127645",
  howpublished="online",
  year="2016",
  month="august",
  pages="47--50",
  type="conference paper"
}