Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/103080
Title: Counting motifs in the human interactome
Authors: Tran, N.H.
Choi, K.P. 
Zhang, L. 
Issue Date: 2013
Citation: Tran, N.H., Choi, K.P., Zhang, L. (2013). Counting motifs in the human interactome. Nature Communications 4 : -. ScholarBank@NUS Repository.
Abstract: Small over-represented motifs in biological networks often form essential functional units of biological processes. A natural question is to gauge whether a motif occurs abundantly or rarely in a biological network. Here we develop an accurate method to estimate the occurrences of a motif in the entire network from noisy and incomplete data, and apply it to eukaryotic interactomes and cell-specific transcription factor regulatory networks. The number of triangles in the human interactome is about 194 times that in the Saccharomyces cerevisiae interactome. A strong positive linear correlation exists between the numbers of occurrences of triad and quadriad motifs in human cell-specific transcription factor regulatory networks. Our findings show that the proposed method is general and powerful for counting motifs and can be applied to any network regardless of its topological structure. © 2013 Macmillan Publishers Limited. All rights reserved.
Source Title: Nature Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/103080
ISSN: 20411723
Appears in Collections:Staff Publications

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