scholarly journals Control analysis provides a simple means of understanding the control structure of a metabolic pathway

1988 ◽  
Vol 253 (2) ◽  
pp. 619-621 ◽  
Author(s):  
A K Groen ◽  
J M Tager
1995 ◽  
Vol 03 (01) ◽  
pp. 217-230 ◽  
Author(s):  
STEFAN SCHUSTER ◽  
DANIEL KAHN ◽  
HANS V. WESTERHOFF

We present a quantitative method based on Metabolic Control Analysis that makes possible to subdivide large metabolic systems into modules and to integrate the information concerning the flux response of these modules so as to yield understanding of the control structure in terms of the mutual regulation of the modules. This work generalizes previous analyses of overall control properties in that it considers multiple fluxes to connect the modules and reaction networks of any complexity. The approach is applied to slipping enzymes.


1997 ◽  
Vol 9 (3) ◽  
pp. 479-502 ◽  
Author(s):  
Harpreet S. Kwatra ◽  
Francis J. Doyle ◽  
Ilya A. Rybak ◽  
James S. Schwaber

A simple neuronal network model of the baroreceptor reflex is analyzed. From a control perspective, the analysis suggests a dynamic scheduled control mechanism by which the baroreflex may perform regulation of the blood pressure. The main objectives of this work are to investigate the static and dynamic response characteristics of the single neurons and the network, to analyze the neuromimetic dynamic scheduled control function of the model, and to apply the algorithm to nonlinear process control problems. The dynamic scheduling activity of the network is exploited in two control architectures. Control structure I is drawn directly from the present model of the baroreceptor reflex. An application of this structure for level control in a conical tank is described. Control structure II employs an explicit set point to determine the feedback error. The performance of this control structure is illustrated on a nonlinear continuous stirred tank reactor with van de Vusse kinetics. The two case studies validate the dynamic scheduled control approach for nonlinear process control applications.


2008 ◽  
Vol 2008 ◽  
pp. 1-30 ◽  
Author(s):  
Rafael Moreno-Sánchez ◽  
Emma Saavedra ◽  
Sara Rodríguez-Enríquez ◽  
Viridiana Olín-Sandoval

The traditional experimental approaches used for changing the flux or the concentration of a particular metabolite of a metabolic pathway have been mostly based on the inhibition or over-expression of the presumed rate-limiting step. However, the attempts to manipulate a metabolic pathway by following such approach have proved to be unsuccessful. Metabolic Control Analysis (MCA) establishes how to determine, quantitatively, the degree of control that a given enzyme exerts on flux and on the concentration of metabolites, thus substituting the intuitive, qualitative concept of rate limiting step. Moreover, MCA helps to understand (i) the underlying mechanisms by which a given enzyme exerts high or low control and (ii) why the control of the pathway is shared by several pathway enzymes and transporters. By applying MCA it is possible to identify the steps that should be modified to achieve a successful alteration of flux or metabolite concentration in pathways of biotechnological (e.g., large scale metabolite production) or clinical relevance (e.g., drug therapy). The different MCA experimental approaches developed for the determination of the flux-control distribution in several pathways are described. Full understanding of the pathway properties when working under a variety of conditions can help to attain a successful manipulation of flux and metabolite concentration.


Author(s):  
Duygu Göksu

This paper questions the mechanism behind the control structure observed in subject infinitival clauses in Turkish. After comparing the main points of the proposals in the Movement Theory of Control in Boeckx, Hornstein, and Nunes (2010), pragmatics based Non-Obligatory Control analysis in Landau (2013), and the UPro Approach in McFadden and Sundaresan (2016), I conclude with the claim that these are logophoric center sensitive NOC structures.


Planta Medica ◽  
2011 ◽  
Vol 77 (05) ◽  
Author(s):  
W Ahmad ◽  
MS Khan ◽  
SMA Zaidi ◽  
SS Jameel ◽  
S Ahmad

KURVATEK ◽  
2017 ◽  
Vol 1 (2) ◽  
pp. 21-31
Author(s):  
Fatimah Miharno

ABSTRACT*Zefara* Field formation Baturaja on South Sumatra Basin is a reservoir carbonate and prospective gas. Data used in this research were 3D seismik data, well logs, and geological information. According to geological report known that hidrocarbon traps in research area were limestone lithological layer as stratigraphical trap and faulted anticline as structural trap. The study restricted in effort to make a hydrocarbon accumulation and a potential carbonate reservoir area maps with seismic attribute. All of the data used in this study are 3D seismic data set, well-log data and check-shot data. The result of the analysis are compared to the result derived from log data calculation as a control analysis. Hydrocarbon prospect area generated from seismic attribute and are divided into three compartments. The seismic attribute analysis using RMS amplitude method and instantaneous frequency is very effective to determine hydrocarbon accumulation in *Zefara* field, because low amplitude from Baturaja reservoir. Low amplitude hints low AI, determined high porosity and high hydrocarbon contact (HC).  Keyword: Baturaja Formation, RMS amplitude seismic attribute, instantaneous frequency seismic attribute


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