English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Algorithms for protein interaction networks

Lappe, M., & Holm, L. (2005). Algorithms for protein interaction networks. Biochemical Society Transactions, 33(3), 530-534.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-8717-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-8718-1
Genre: Journal Article
Alternative Title : Biochem Soc Trans

Files

show Files
hide Files
:
Lappe_05_BST.pdf (Any fulltext), 334KB
Name:
Lappe_05_BST.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
eDoc_access: PUBLIC
License:
-

Locators

show

Creators

show
hide
 Creators:
Lappe, M.1, Author              
Holm, L., Author
Affiliations:
1Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433554              

Content

show
hide
Free keywords: algorithm; interactome; proteomics; protein interaction network; structure and function; signal-transduction pathway
 Abstract: The functional characterization of all genes and their gene products is the main challenge of the postgenomic era. Recent experimental and computational techniques have enabled the study of interactions among all proteins on a large scale. In this paper, approaches will be presented to exploit interaction information for the inference of protein structure, function, signalling pathways and ultimately entire interactomes. Interaction networks can bemodelled as graphs, showing the operation of gene function in terms of protein interactions. Since the architecture of biological networks differs distinctly from random networks, these functional maps contain a signal that can be used for predictive purposes. Protein function and structure can be predicted by matching interaction patterns, without the requirement of sequence similarity. Moving on to a higher level definition of protein function, the question arises how to decompose complex networks into meaningful subsets. An algorithm will be demonstrated, which extracts whole signal-transduction pathways from noisy graphs derived from text-mining the biological literature. Finally, an algorithmic strategy is formulated that enables the proteomics community to build a reliable scaffold of the interactome in a fraction of the time compared with uncoordinated efforts.

Details

show
hide
Language(s): eng - English
 Dates: 2005-01-19
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 264883
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Biochemical Society Transactions
  Alternative Title : Biochem Soc Trans
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 33 (3) Sequence Number: - Start / End Page: 530 - 534 Identifier: ISSN: 0300-5127