Protein Interaction Networks: Computational Analysis
The analysis of protein–protein interactions is fundamental to the
understanding of cellular organization, processes, and functions. Pro-
teins seldom act as single isolated species; rather, proteins involved in
the same cellular processes often interact with each other. Functions
of uncharacterized proteins may be predicted through comparison with
the interactions of similar known proteins. Recent large-scale investiga-
tions of protein–protein interactions using such techniques as two-hybrid
systems, mass spectrometry, and protein microarrays have enriched the
available protein interaction data and facilitated the construction of inte-
grated protein–protein interaction networks. The resulting large volume
of protein–protein interaction data has posed a challenge to experimental
investigation.
This book provides a comprehensive understanding of the computa-
tional methods available for the analysis of protein–protein interaction
networks. It offers an in-depth survey of a range of approaches, includ-
ing statistical, topological, data-mining, and ontology-based methods.
The author discusses the fundamental principles underlying each of these
approaches and their respective benefits and drawbacks, and she offers
suggestions for future research.
Aidong Zhang is a professor in the Department of Computer Science
and Engineering at the State University of New York at Buffalo and the
director of the Buffalo Center for Biomedical Computing (BCBC). She is
an author of more than 200 research publications and has served on the
editorial boards of the International Journal of Bioinformatics Research
and Applications (IJBRA), ACM Multimedia Systems, the International
Journal of Multimedia Tools and Applications, the International Journal
of Distributed and Parallel Databases, and ACM SIGMOD DiSC (Digital
Symposium Collection). Dr. Zhang is a recipient of the National Science
Foundation CAREER Award and SUNY (State University of New York)
Chancellor’s Research Recognition Award. Dr. Zhang is an IEEE Fellow.
