Detail publikace

Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction

KUPKOVÁ, K. SEDLÁŘ, K. PROVAZNÍK, I.

Originální název

Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Correlated mutation (CM) analysis has been proved to be an important tool used in protein contact map prediction from primary amino acid sequence. Over the last years CM methods have been refined and then often combined with methods of different nature in order to improve reached precision. However, since the methods are still relatively new, only precision and improvement have been reported without mentioning recall which is very low. In this paper, we combine previously described CM analysis methods with an outcome of four new techniques which significantly increase recall for the cost of minimal precision impairment. This study is the first of our knowledge with focus on recall improvement.

Klíčová slova

Correlated mutations; Contact map; Protein structure prediction; Residue contact

Autoři

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

Vydáno

26. 5. 2016

Nakladatel

Springer International Publishing

Místo

Německo

ISBN

9783319399034

Kniha

Information Technologies in Medicine, 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 2

ISSN

2194-5357

Periodikum

Advances in Intelligent Systems and Computing

Ročník

472

Číslo

1

Stát

Švýcarská konfederace

Strany od

133

Strany do

144

Strany počet

12

BibTex

@inproceedings{BUT126084,
  author="Kristýna {Kupková} and Karel {Sedlář} and Valentine {Provazník}",
  title="Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction",
  booktitle="Information Technologies in Medicine, 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 2",
  year="2016",
  journal="Advances in Intelligent Systems and Computing",
  volume="472",
  number="1",
  pages="133--144",
  publisher="Springer International Publishing",
  address="Německo",
  doi="10.1007/978-3-319-39904-1\{_}12",
  isbn="9783319399034",
  issn="2194-5357"
}