Literature DB >> 23715990

Building models using Reactome pathways as templates.

David Croft1.   

Abstract

The first steps of building a new model can be very time-consuming, involving consulting many research papers and then assembling a plausible network of reactions. In this chapter, tools for speeding up this process will be discussed. Reactome is a database containing extensive coverage of pathways in Homo sapiens and numerous reference species. It offers researchers wishing to create new models from scratch various tools for extracting the relevant reactions, complete with layout information. In this chapter, two use cases will be described, in which a modeller provides certain essential pieces of information and Reactome automatically constructs the basic models and then dumps them in SBML-ML format.

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Year:  2013        PMID: 23715990     DOI: 10.1007/978-1-62703-450-0_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  22 in total

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Authors:  Anu G Nair; Omar Gutierrez-Arenas; Olivia Eriksson; Alexandra Jauhiainen; Kim T Blackwell; Jeanette H Kotaleski
Journal:  Prog Mol Biol Transl Sci       Date:  2014       Impact factor: 3.622

2.  Dynamical modeling of uncertain interaction-based genomic networks.

Authors:  Daniel N Mohsenizadeh; Jianping Hua; Michael Bittner; Edward R Dougherty
Journal:  BMC Bioinformatics       Date:  2015-09-25       Impact factor: 3.169

3.  Mimoza: web-based semantic zooming and navigation in metabolic networks.

Authors:  Anna Zhukova; David J Sherman
Journal:  BMC Syst Biol       Date:  2015-02-26

4.  Automatically visualise and analyse data on pathways using PathVisioRPC from any programming environment.

Authors:  Anwesha Bohler; Lars M T Eijssen; Martijn P van Iersel; Christ Leemans; Egon L Willighagen; Martina Kutmon; Magali Jaillard; Chris T Evelo
Journal:  BMC Bioinformatics       Date:  2015-08-23       Impact factor: 3.169

5.  GeneStoryTeller: a mobile app for quick and comprehensive information retrieval of human genes.

Authors:  Stergiani V Eleftheriou; Marilena M Bourdakou; Emmanouil I Athanasiadis; George M Spyrou
Journal:  Database (Oxford)       Date:  2015-06-08       Impact factor: 3.451

6.  Quantitative proteomics by SWATH-MS reveals altered expression of nucleic acid binding and regulatory proteins in HIV-1-infected macrophages.

Authors:  Nicole A Haverland; Howard S Fox; Pawel Ciborowski
Journal:  J Proteome Res       Date:  2014-03-10       Impact factor: 4.466

7.  Quantitative temporal viromics: an approach to investigate host-pathogen interaction.

Authors:  Michael P Weekes; Peter Tomasec; Edward L Huttlin; Ceri A Fielding; David Nusinow; Richard J Stanton; Eddie C Y Wang; Rebecca Aicheler; Isa Murrell; Gavin W G Wilkinson; Paul J Lehner; Steven P Gygi
Journal:  Cell       Date:  2014-06-05       Impact factor: 41.582

8.  Radiosensitization of human leukemic HL-60 cells by ATR kinase inhibitor (VE-821): phosphoproteomic analysis.

Authors:  Barbora Šalovská; Ivo Fabrik; Kamila Ďurišová; Marek Link; Jiřina Vávrová; Martina Řezáčová; Aleš Tichý
Journal:  Int J Mol Sci       Date:  2014-07-07       Impact factor: 5.923

9.  Network analysis of temporal functionalities of the gut induced by perturbations in new-born piglets.

Authors:  Nirupama Benis; Dirkjan Schokker; Maria Suarez-Diez; Vitor A P Martins Dos Santos; Hauke Smidt; Mari A Smits
Journal:  BMC Genomics       Date:  2015-07-29       Impact factor: 3.969

10.  Gramene 2013: comparative plant genomics resources.

Authors:  Marcela K Monaco; Joshua Stein; Sushma Naithani; Sharon Wei; Palitha Dharmawardhana; Sunita Kumari; Vindhya Amarasinghe; Ken Youens-Clark; James Thomason; Justin Preece; Shiran Pasternak; Andrew Olson; Yinping Jiao; Zhenyuan Lu; Dan Bolser; Arnaud Kerhornou; Dan Staines; Brandon Walts; Guanming Wu; Peter D'Eustachio; Robin Haw; David Croft; Paul J Kersey; Lincoln Stein; Pankaj Jaiswal; Doreen Ware
Journal:  Nucleic Acids Res       Date:  2013-11-11       Impact factor: 16.971

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