Literature DB >> 18393674

From the determination of complex reaction mechanisms to systems biology.

John Ross1.   

Abstract

This review presents several methods of determining complex chemical reaction mechanisms and their functions. One method is based on correlation functions of measured time series of concentrations of chemical species, another is on measurements of temporal responses of concentrations to various perturbations of arbitrary magnitude, the third deals with the analysis of oscillatory systems, and the fourth describes the use of genetic algorithms. All methods are applicable to chemical, biochemical, and biological reaction systems and to genetic networks. The methods depend on the design of appropriate experiments for the whole system and corresponding theories for interpretation that lead to information on the causal chemical connectivity of species, reaction pathways, reaction mechanisms, control centers in the system, and functions of the system. The first three methods require no assumption of a model or hypothesis, nor extensive calculations, unlike the interpretation of measurements made on a gene network at only one time. The methods offer advantageous approaches to systems biology.

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Year:  2008        PMID: 18393674     DOI: 10.1146/annurev.biochem.77.102507.115132

Source DB:  PubMed          Journal:  Annu Rev Biochem        ISSN: 0066-4154            Impact factor:   23.643


  7 in total

1.  Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations.

Authors:  Michael Dworkin; Sayak Mukherjee; Ciriyam Jayaprakash; Jayajit Das
Journal:  J R Soc Interface       Date:  2012-02-29       Impact factor: 4.118

2.  Kinetic laws, phase-phase expansions, renormalization group, and INR calibration.

Authors:  Marcel O Vlad; Alexandru D Corlan; Federico Morán; Rainer Spang; Peter Oefner; John Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-06       Impact factor: 11.205

Review 3.  It's the machine that matters: Predicting gene function and phenotype from protein networks.

Authors:  Peggy I Wang; Edward M Marcotte
Journal:  J Proteomics       Date:  2010-07-15       Impact factor: 4.044

4.  The acute inflammatory response in trauma / hemorrhage and traumatic brain injury: current state and emerging prospects.

Authors:  R Namas; A Ghuma; L Hermus; R Zamora; D O Okonkwo; T R Billiar; Y Vodovotz
Journal:  Libyan J Med       Date:  2009-09-01       Impact factor: 1.657

5.  Macroscopic law of conservation revealed in the population dynamics of Toll-like receptor signaling.

Authors:  Kumar Selvarajoo
Journal:  Cell Commun Signal       Date:  2011-04-20       Impact factor: 5.712

6.  Single-gene tuning of Caulobacter cell cycle period and noise, swarming motility, and surface adhesion.

Authors:  Yihan Lin; Sean Crosson; Norbert F Scherer
Journal:  Mol Syst Biol       Date:  2010-12-21       Impact factor: 11.429

7.  Enhancing apoptosis in TRAIL-resistant cancer cells using fundamental response rules.

Authors:  Vincent Piras; Kentaro Hayashi; Masaru Tomita; Kumar Selvarajoo
Journal:  Sci Rep       Date:  2011-11-07       Impact factor: 4.379

  7 in total

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