Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/156500
Title: Counting motifs in the human interactome
Authors: Ngoc, Hieu Tran
Choi, Kwok Pui 
Zhang, Louxin 
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
PROTEIN-PROTEIN INTERACTIONS
NETWORK MOTIFS
REGULATORY NETWORKS
COMPLEX NETWORKS
SIZE
MAP
CENTRALITY
BIOLOGY
YEAST
Issue Date: 1-Aug-2013
Publisher: NATURE PUBLISHING GROUP
Citation: Ngoc, Hieu Tran, Choi, Kwok Pui, Zhang, Louxin (2013-08-01). Counting motifs in the human interactome. NATURE COMMUNICATIONS 4 (1) : -. 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: https://scholarbank.nus.edu.sg/handle/10635/156500
ISSN: 2041-1723
Appears in Collections:Staff Publications
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