Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Journal of Integrative Bioinformatics

Editor-in-Chief: Schreiber, Falk / Hofestädt, Ralf

Managing Editor: Sommer, Björn

Ed. by Baumbach, Jan / Chen, Ming / Orlov, Yuriy / Allmer, Jens

Editorial Board: Giorgetti, Alejandro / Harrison, Andrew / Kochetov, Aleksey / Krüger, Jens / Ma, Qi / Matsuno, Hiroshi / Mitra, Chanchal K. / Pauling, Josch K. / Rawlings, Chris / Fdez-Riverola, Florentino / Romano, Paolo / Röttger, Richard / Shoshi, Alban / Soares, Siomar de Castro / Taubert, Jan / Tauch, Andreas / Yousef, Malik / Weise, Stephan / Hassani-Pak, Keywan


CiteScore 2017: 0.77

SCImago Journal Rank (SJR) 2017: 0.336

Open Access
Online
ISSN
1613-4516
See all formats and pricing
More options …
Volume 4, Issue 3

Issues

Mapping protein information to disease terminologies

Anaïs Mottaz / Yum L. Yip
  • Swiss Institute of Bioinformatics, Switzerland
  • Dept. of Structural Biology and Bioinformatics, University of Geneva, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Patrick Ruch
  • Dept. of Structural Biology and Bioinformatics, University of Geneva, Switzerland
  • Medical Informatics Service, University Hospitals of Geneva, Geneva, Switzerland
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Anne-Lise Veuthey
Published Online: 2016-10-18 | DOI: https://doi.org/10.1515/jib-2007-79

Abstract

In order to improve the accessibility of genomic and proteomic information to medical researchers, we have developed a procedure to link biological information on proteins involved in diseases to the MeSH and ICD-10 disease terminologies. For this purpose, we took advantage of the manually curated disease annotations in more than 2,000 human protein entries of the UniProt KnowledgeBase. We mapped disease names extracted from the entry comment lines or from the corresponding OMIM entry to the MeSH. The method was assessed on a benchmark set of 200 manually mapped disease comment lines. We obtained a recall of 54% for 91% precision. The same procedure was used to map the more than 3,000 diseases in Swiss-Prot to MeSH with comparable efficiency. Tested on ICD-10, the coverage of the mapped terms was lower, which could be explained by the coarse-grained structure of this terminology for hereditary disease description. The mapping is provided as supplementary material at http://research.isbsib.ch/unimed.

About the article

Published Online: 2016-10-18

Published in Print: 2007-12-01


Citation Information: Journal of Integrative Bioinformatics, Volume 4, Issue 3, Pages 243–251, ISSN (Online) 1613-4516, DOI: https://doi.org/10.1515/jib-2007-79.

Export Citation

© 2007 The Author(s). Published by Journal of Integrative Bioinformatics.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

Comments (0)

Please log in or register to comment.
Log in