Literature DB >> 18805901

Web-based applications for building, managing and analysing kinetic models of biological systems.

Dong-Yup Lee1, Rajib Saha, Faraaz Noor Khan Yusufi, Wonjun Park, Iftekhar A Karimi.   

Abstract

Mathematical modelling and computational analysis play an essential role in improving our capability to elucidate the functions and characteristics of complex biological systems such as metabolic, regulatory and cell signalling pathways. The modelling and concomitant simulation render it possible to predict the cellular behaviour of systems under various genetically and/or environmentally perturbed conditions. This motivates systems biologists/bioengineers/bioinformaticians to develop new tools and applications, allowing non-experts to easily conduct such modelling and analysis. However, among a multitude of systems biology tools developed to date, only a handful of projects have adopted a web-based approach to kinetic modelling. In this report, we evaluate the capabilities and characteristics of current web-based tools in systems biology and identify desirable features, limitations and bottlenecks for further improvements in terms of usability and functionality. A short discussion on software architecture issues involved in web-based applications and the approaches taken by existing tools is included for those interested in developing their own simulation applications.

Mesh:

Year:  2008        PMID: 18805901      PMCID: PMC2638623          DOI: 10.1093/bib/bbn039

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  36 in total

1.  The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks.

Authors:  Sudhir Sivakumaran; Sridhar Hariharaputran; Jyoti Mishra; Upinder S Bhalla
Journal:  Bioinformatics       Date:  2003-02-12       Impact factor: 6.937

2.  CADLIVE for constructing a large-scale biochemical network based on a simulation-directed notation and its application to yeast cell cycle.

Authors:  Hiroyuki Kurata; Nana Matoba; Natsumi Shimizu
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

3.  Comparison of network-based pathway analysis methods.

Authors:  Jason A Papin; Joerg Stelling; Nathan D Price; Steffen Klamt; Stefan Schuster; Bernhard O Palsson
Journal:  Trends Biotechnol       Date:  2004-08       Impact factor: 19.536

4.  Simulation tools for biochemical networks: evaluation of performance and usability.

Authors:  Antti Pettinen; Tommi Aho; Olli-Pekka Smolander; Tiina Manninen; Antti Saarinen; Kaisa-Leena Taattola; Olli Yli-Harja; Marja-Leena Linne
Journal:  Bioinformatics       Date:  2004-09-09       Impact factor: 6.937

5.  Uncertainty in predictions of the climate response to rising levels of greenhouse gases.

Authors:  D A Stainforth; T Aina; C Christensen; M Collins; N Faull; D J Frame; J A Kettleborough; S Knight; A Martin; J M Murphy; C Piani; D Sexton; L A Smith; R A Spicer; A J Thorpe; M R Allen
Journal:  Nature       Date:  2005-01-27       Impact factor: 49.962

6.  Tools for kinetic modeling of biochemical networks.

Authors:  Rui Alves; Fernando Antunes; Armindo Salvador
Journal:  Nat Biotechnol       Date:  2006-06       Impact factor: 54.908

Review 7.  The blue brain project.

Authors:  Henry Markram
Journal:  Nat Rev Neurosci       Date:  2006-02       Impact factor: 34.870

Review 8.  Dynamic modelling and analysis of biochemical networks: mechanism-based models and model-based experiments.

Authors:  Natal A W van Riel
Journal:  Brief Bioinform       Date:  2006-11-14       Impact factor: 11.622

9.  BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.

Authors:  Nicolas Le Novère; Benjamin Bornstein; Alexander Broicher; Mélanie Courtot; Marco Donizelli; Harish Dharuri; Lu Li; Herbert Sauro; Maria Schilstra; Bruce Shapiro; Jacky L Snoep; Michael Hucka
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  qPIPSA: relating enzymatic kinetic parameters and interaction fields.

Authors:  Razif R Gabdoulline; Matthias Stein; Rebecca C Wade
Journal:  BMC Bioinformatics       Date:  2007-10-05       Impact factor: 3.169

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  5 in total

1.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

2.  Tav4SB: integrating tools for analysis of kinetic models of biological systems.

Authors:  Mikołaj Rybiński; Michał Lula; Paweł Banasik; Sławomir Lasota; Anna Gambin
Journal:  BMC Syst Biol       Date:  2012-04-05

3.  NOREVA: normalization and evaluation of MS-based metabolomics data.

Authors:  Bo Li; Jing Tang; Qingxia Yang; Shuang Li; Xuejiao Cui; Yinghong Li; Yuzong Chen; Weiwei Xue; Xiaofeng Li; Feng Zhu
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

4.  CerealESTDb: A Comprehensive Resource for Abiotic Stress-Responsive Annotated ESTs With Predicted Genes, Gene Ontology, and Metabolic Pathways in Major Cereal Crops.

Authors:  Sanjeev Kumar; Jyotika Bhati; Arijit Saha; Shashi Bhushan Lal; Pankaj Kumar Pandey; Dwijesh Chandra Mishra; Mohammad Samir Farooqi; Anuj Kumar; Krishna Kumar Chaturvedi; Anil Rai
Journal:  Front Genet       Date:  2022-02-24       Impact factor: 4.599

5.  EasyLCMS: an asynchronous web application for the automated quantification of LC-MS data.

Authors:  Sergio Fructuoso; Angel Sevilla; Cristina Bernal; Ana Belén Lozano; José Luis Iborra; Manuel Cánovas
Journal:  BMC Res Notes       Date:  2012-08-11
  5 in total

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