Literature DB >> 15763560

Interactome modeling.

Marc Vidal1.   

Abstract

A long-term goal of the field of interactome modeling is to understand how global and local properties of complex macromolecular networks impact on observable biological properties, and how changes in such properties can lead to human diseases. The information available at this stage of development of the field provides strong evidence for the existence of such interesting global and local properties, but also demonstrates that many more datasets will be needed to provide accurate models with increasingly predictive capacity. This review focuses on an early attempt at mapping a multicellular interactome network and on the lessons learned from that attempt.

Entities:  

Mesh:

Year:  2005        PMID: 15763560     DOI: 10.1016/j.febslet.2005.02.030

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  38 in total

1.  Agriculture in the developing world: Connecting innovations in plant research to downstream applications.

Authors:  Deborah P Delmer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-08       Impact factor: 11.205

Review 2.  Shining light on signaling and metabolic networks by genetically encoded biosensors.

Authors:  Sylvie Lalonde; David W Ehrhardt; Wolf B Frommer
Journal:  Curr Opin Plant Biol       Date:  2005-09-26       Impact factor: 7.834

3.  The comparative toxicogenomics database: a cross-species resource for building chemical-gene interaction networks.

Authors:  Carolyn J Mattingly; Michael C Rosenstein; Allan Peter Davis; Glenn T Colby; John N Forrest; James L Boyer
Journal:  Toxicol Sci       Date:  2006-05-04       Impact factor: 4.849

4.  MicroRNA regulation of human protein protein interaction network.

Authors:  Han Liang; Wen-Hsiung Li
Journal:  RNA       Date:  2007-07-24       Impact factor: 4.942

5.  Coevolution of robustness, epistasis, and recombination favors asexual reproduction.

Authors:  Thomas MacCarthy; Aviv Bergman
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-23       Impact factor: 11.205

6.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

7.  Stem Cells in Aging: Influence of Ontogenic, Genetic and Environmental Factors.

Authors:  Edmond J Yunis; Joaquin Zúñiga; Prasad S Koka; Zaheed Husain; Viviana Romero; Joel N H Stern; Masha Fridkis-Hareli
Journal:  J Stem Cells       Date:  2006

Review 8.  Exploring mechanisms of human disease through structurally resolved protein interactome networks.

Authors:  Robert Fragoza; Hao Ran Lee; Nicolas A Cordero; Jishnu Das; Yu Guo; Michael J Meyer; Tommy V Vo; Xiujuan Wang; Haiyuan Yu
Journal:  Mol Biosyst       Date:  2014-01

9.  Protein evolution on a human signaling network.

Authors:  Qinghua Cui; Enrico O Purisima; Edwin Wang
Journal:  BMC Syst Biol       Date:  2009-02-18

Review 10.  Computational models in plant-pathogen interactions: the case of Phytophthora infestans.

Authors:  Andrés Pinzón; Emiliano Barreto; Adriana Bernal; Luke Achenie; Andres F González Barrios; Raúl Isea; Silvia Restrepo
Journal:  Theor Biol Med Model       Date:  2009-11-12       Impact factor: 2.432

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.