Networks Network Motifs : Simple Building Blocks of Complex

By S. Shen-Orr, Shalev Itzkovitz, Nadav Kashtan, Dmitri "Mitya" Chklovskii, U. Alon. 2002

Subfields: Graph Learning, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Graph Learning

In Computational Biology & Bioinformatics

Citations in the corpus

Learning Convolutional Neural Networks for Graphs (2016, neutral): “These subgraphs, which are often called motifs or graphlets, reflect functional network properties (Milo et al., 2002; Alon, 2007).”
Complex network measures of brain connectivity: Uses and interpretations (2010, methodology): “…directed connected pattern. h will occur as an anatomical motif in an n h node, l h link subnetwork, if links in the subnetwork match links in h (Milo et al., 2002). h will occur (possibly more than once) as a functional motif in an n h node, l h ′ ≥ l h link subnetwork, if at least one…”
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory (2008, unknown): “To detect those motifs that are likely to be important, Milos et al. (2002) proposed to compare the analyzed real network to suitably randomized networks and to select patterns appearing in the real network at numbers significantly higher than those in the randomized networks.”
Scaling Laws in the Functional Content of Genomes (2003, background): “The experimental data on transcription regulatory networks is rather incomplete but they also suggest that the number of genes regulated per transcription factor might have power-law tails [7, 15].”
Using graph theory to analyze biological networks (2011, background): “Type of networks: protein, neuron, electronic [74].”
Communities in Networks (2009, background): “cases, a network can contain several identical replicas of small communities known as motifs [75].”
Modeling interactome: scale-free or geometric? (2004, background): “Different types of realworld networks have been shown to have different motifs (Milo et al., 2002).”
Differential network biology (2012, background): “They have also been useful for the study of unifying network topologies and architectures, which link molecular biology with many other scientiﬁc disciplines that involve networks (Milo et al , 2002; Barabasi, 2009; Liu et al , 2011).”
Learning the Structural Vocabulary of a Network (2017, background): “These human-designed features range from local measures, including modularity (Newman, 2006), motifs (Milo et al., 2002), and graphlets (Przulj, 2007), to global measures, such as path lengths, degree distributions (Barabasi & Albert, 1999), and graph spectra (Patro & Kingsford, 2012).”
The efficiency of multi-target drugs: the network approach might help drug design. (2004, background): “In these simplified models, the ‘attack’ on a network, such as the genetic regulatory networks of Escherichia coli [23] or Saccharomyces cerevisiae [24], is modeled by removing or attenuating a target, which is either a protein (element), or an interaction (link).”
Organization, development and function of complex brain networks. (2004, unknown): “randomized networks of the same size [29,30].”
The Index-Based Subgraph Matching Algorithm (ISMA): Fast Subgraph Enumeration in Large Networks Using Optimized Search Trees (2013, background): “to be one of the defining properties of real-world complex networks, in particular biological networks [2].”
The coherent feedforward loop serves as a sign-sensitive delay element in transcription networks. (2003, methodology): “cerevisiae†.(3) We enumerated the FFLs using methods described earlier.”
Structural balance in the social networks of a wild mammal (2013, background): “We suggest that network motif analysis (Milo et al. 2002) holds promise in elucidating the complex social structure of animal societies.”