English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Functional evaluation of domain-domain interactions and human protein interaction networks

Schlicker, A., Huthmacher, C., Ramírez, F., Lengauer, T., & Albrecht, M. (2006). Functional evaluation of domain-domain interactions and human protein interaction networks. In German Conference on Bioinformatics (GCB 2006) (pp. 115-126). Bonn, Germany: Gesellschaft für Informatik.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-22F2-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-22F3-7
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Schlicker, Andreas1, Author           
Huthmacher, Carola1, Author           
Ramírez, Fidel2, Author
Lengauer, Thomas1, Author           
Albrecht, Mario1, Author           
Huson, Daniel, Editor
Kohlbacher, Oliver3, Editor           
Lupas, Andrei, Editor
Nieselt, Kay, Editor
Zell, Andreas, Editor
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              
2Max Planck Society, ou_persistent13              
3Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

Content

show
hide
Free keywords: -
 Abstract: Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of the provided data, we used our new similarity measure based on the Gene Ontology to evaluate the molecular functions and biological processes of interacting proteins or domains. The applied measure particularly addresses the frequent annotation of proteins or domains with multiple Gene Ontology terms. Using our similarity measure, we compare predicted domain-domain and human protein-protein interactions with experimentally derived interactions. The results show that our similarity measure is of significant benefit in quality assessment and confidence ranking of domain and protein networks. We also derive useful confidence score thresholds for dividing domain interaction predictions into subsets of low and high confidence.

Details

show
hide
Language(s): eng - English
 Dates: 2007-03-202006
 Publication Status: Issued
 Pages: -
 Publishing info: Bonn, Germany : Gesellschaft für Informatik
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314486
Other: Local-ID: C125673F004B2D7B-D2C0097D30CFFE37C12571F600452604-Albrecht2006h
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: Tübingen, Germany
Start-/End Date: 2006-09-19

Legal Case

show

Project information

show

Source 1

show
hide
Title: German Conference on Bioinformatics (GCB 2006)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Bonn, Germany : Gesellschaft für Informatik
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 115 - 126 Identifier: ISBN: 978-3-88579-177-5

Source 2

show
hide
Title: Lecture Notes in Informatics
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -