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Literature DB >> 15728355

Lasting impressions: motifs in protein-protein maps may provide footprints of evolutionary events.

J Jeremy Rice¹, Aaron Kershenbaum, Gustavo Stolovitzky.

Abstract

Mesh：

Substances：
Proteins

Year: 2005 PMID： 15728355 PMCID： PMC552913 DOI： 10.1073/pnas.0500130102

Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205

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17 in total

1. Topology of evolving networks: local events and universality

Authors:
Journal: Phys Rev Lett Date: 2000-12-11 Impact factor: 9.161

2. Network motifs in the transcriptional regulation network of Escherichia coli.

Authors: Shai S Shen-Orr; Ron Milo; Shmoolik Mangan; Uri Alon
Journal: Nat Genet Date: 2002-04-22 Impact factor: 38.330

3. The coherent feedforward loop serves as a sign-sensitive delay element in transcription networks.

Authors: S Mangan; A Zaslaver; U Alon
Journal: J Mol Biol Date: 2003-11-21 Impact factor: 5.469

4. Network motifs: simple building blocks of complex networks.

Authors: R Milo; S Shen-Orr; S Itzkovitz; N Kashtan; D Chklovskii; U Alon
Journal: Science Date: 2002-10-25 Impact factor: 47.728

5. The metabolic world of Escherichia coli is not small.

Authors: Masanori Arita
Journal: Proc Natl Acad Sci U S A Date: 2004-02-02 Impact factor: 11.205

6. Hierarchical organization of modularity in metabolic networks.

Authors: E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal: Science Date: 2002-08-30 Impact factor: 47.728

7. Comment on "Network motifs: simple building blocks of complex networks" and "Superfamilies of evolved and designed networks".

Authors: Yael Artzy-Randrup; Sarel J Fleishman; Nir Ben-Tal; Lewi Stone
Journal: Science Date: 2004-08-20 Impact factor: 47.728

8. Inferring network mechanisms: the Drosophila melanogaster protein interaction network.

Authors: Manuel Middendorf; Etay Ziv; Chris H Wiggins
Journal: Proc Natl Acad Sci U S A Date: 2005-02-22 Impact factor: 11.205

9. Predicting genetic regulatory response using classification.

Authors: Manuel Middendorf; Anshul Kundaje; Chris Wiggins; Yoav Freund; Christina Leslie
Journal: Bioinformatics Date: 2004-08-04 Impact factor: 6.937

10. A protein interaction map of Drosophila melanogaster.

Authors: L Giot; J S Bader; C Brouwer; A Chaudhuri; B Kuang; Y Li; Y L Hao; C E Ooi; B Godwin; E Vitols; G Vijayadamodar; P Pochart; H Machineni; M Welsh; Y Kong; B Zerhusen; R Malcolm; Z Varrone; A Collis; M Minto; S Burgess; L McDaniel; E Stimpson; F Spriggs; J Williams; K Neurath; N Ioime; M Agee; E Voss; K Furtak; R Renzulli; N Aanensen; S Carrolla; E Bickelhaupt; Y Lazovatsky; A DaSilva; J Zhong; C A Stanyon; R L Finley; K P White; M Braverman; T Jarvie; S Gold; M Leach; J Knight; R A Shimkets; M P McKenna; J Chant; J M Rothberg
Journal: Science Date: 2003-11-06 Impact factor: 47.728

8 in total

Lasting impressions: motifs in protein-protein maps may provide footprints of evolutionary events.

1. Topology of evolving networks: local events and universality

2. Network motifs in the transcriptional regulation network of Escherichia coli.

3. The coherent feedforward loop serves as a sign-sensitive delay element in transcription networks.

4. Network motifs: simple building blocks of complex networks.

5. The metabolic world of Escherichia coli is not small.

6. Hierarchical organization of modularity in metabolic networks.

7. Comment on "Network motifs: simple building blocks of complex networks" and "Superfamilies of evolved and designed networks".

8. Inferring network mechanisms: the Drosophila melanogaster protein interaction network.

9. Predicting genetic regulatory response using classification.

10. A protein interaction map of Drosophila melanogaster.

1. Spontaneous emergence of modularity in cellular networks.

2. From evidence to inference: probing the evolution of protein interaction networks.

3. Colored motifs reveal computational building blocks in the C. elegans brain.

Review 4. Integrative computational biology for cancer research.

5. A causal mediation model of ischemia reperfusion injury in the retina.

6. Testing biological network motif significance with exponential random graph models.

7. Identifying emerging motif in growing networks.

8. Alignment-free protein interaction network comparison.