Journal
NATURE BIOTECHNOLOGY
Volume 24, Issue 4, Pages 427-433Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nbt1196
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Funding
- NCRR NIH HHS [P41 RR018627-055059, P41 RR018627-020005, P41 RR018627-048666, RR018627, P41 RR018627-030005, P41 RR018627-048686, P41 RR018627-055039, P41 RR018627] Funding Source: Medline
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Molecular networks represent the backbone of molecular activity within the cell. Recent studies have taken a comparative approach toward interpreting these networks, contrasting networks of different species and molecular types, and under varying conditions. In this review, we survey the field of comparative biological network analysis and describe its applications to elucidate cellular machinery and to predict protein function and interaction. We highlight the open problems in the field as well as propose some initial mathematical formulations for addressing them. Many of the methodological and conceptual advances that were important for sequence comparison will likely also be important at the network level, including improved search algorithms, techniques for multiple alignment, evolutionary models for similarity scoring and better integration with public databases.
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