Publication detail

Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction

KUPKOVÁ, K. SEDLÁŘ, K. PROVAZNÍK, I.

Original Title

Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction

English Title

Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

Released

26.05.2016

Publisher

Springer International Publishing

Location

Německo

ISBN

9783319399034

Book

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

Pages from

133

Pages to

144

Pages count

12

BibTex


@inproceedings{BUT126084,
  author="Kristýna {Kupková} and Karel {Sedlář} and Ivo {Provazník}",
  title="Multidimensional Correlated Mutation Analysis for Protein Contact Map Prediction",
  annote="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.",
  address="Springer International Publishing",
  booktitle="Information Technologies in Medicine, 5th International Conference, ITIB 2016 Kamień Śląski, Poland, June 20 - 22, 2016 Proceedings, Volume 2",
  chapter="126084",
  doi="10.1007/978-3-319-39904-1_12",
  howpublished="print",
  institution="Springer International Publishing",
  number="1",
  year="2016",
  month="may",
  pages="133--144",
  publisher="Springer International Publishing",
  type="conference paper"
}