Gesellschaft fr Informatik e.V.

Lecture Notes in Informatics

German Conference on Bioinformatics P-83, 115-126 (2006).

Gesellschaft für Informatik, Bonn

Copyright © Gesellschaft für Informatik, Bonn


Functional Evaluation of Domain-Domain Interactions and Human Protein Interaction Networks

Andreas Schlicker , Carola Huthmacher , Fidel Ramírez , Thomas Lengauer and Mario Albrecht


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.

Full Text: PDF

Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-177-5

Last changed 03.11.2010 09:55:09