Class "sysBiolAlg_fba"

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Description

The class sysBiolAlg_fba holds an object of class optObj which is generated to meet the requirements of the FBA algorithm.

Details

The initialize method has the following arguments:

model

An object of class modelorg.

lpdir

Single character string containing the direction of optimization. Can be set to "min" or "max".
Default: "max".

useNames

A single boolean value. If set to TRUE, variables and constraints will be named according to cnames and rnames. If set to NULL, no specific variable or constraint names are set.
Default: SYBIL_SETTINGS("USE_NAMES").

cnames

A character vector giving the variable names. If set to NULL, the reaction id's of model are used.
Default: NULL.

rnames

A character vector giving the constraint names. If set to NULL, the metabolite id's of model are used.
Default: NULL.

pname

A single character string containing a name for the problem object.
Default: NULL.

scaling

Scaling options used to scale the constraint matrix. If set to NULL, no scaling will be performed (see scaleProb).
Default: NULL.

writeProbToFileName

A single character string containing a file name to which the problem object will be written in LP file format.
Default: NULL.

...

Further arguments passed to the initialize method of sysBiolAlg. They are solver, method and solverParm.

The problem object is built to be capable to perform flux balance analysis (FBA) with a given model, which is basically the solution of a linear programming problem

max c^T v s.t. Sv = 0 a_i <= v_i <= b_i for i = 1, ..., n

with S being the stoichiometric matrix, a_i and b_i being the lower and upper bounds for flux (variable) i respectively. The total number of variables of the optimization problem is denoted by n. The solution of the optimization is a flux distribution maximizing the objective function c^T v under the a given environment and the assumption of steady state. The optimization can be executed by using optimizeProb.

Objects from the Class

Objects can be created by calls of the form

sysBiolAlg(model, algorithm = "fba", ...).

Arguments to ... which are passed to method initialize of class sysBiolAlg_fba are described in the Details section.

Slots

problem:

Object of class "optObj" containing the problem object.

algorithm:

Object of class "character" containing the name of the algorithm.

nr:

Object of class "integer" containing the number of rows of the problem object.

nc:

Object of class "integer" containing the number of columns of the problem object

fldind:

Object of class "integer" pointers to columns (variables) representing a flux (reaction) in the original network. The variable fldind[i] in the problem object represents reaction i in the original network.

alg_par:

Object of class "list" containing a named list containing algorithm specific parameters.

Extends

Class "sysBiolAlg", directly.

Methods

No methods defined with class "sysBiolAlg_fba" in the signature.

Author(s)

Gabriel Gelius-Dietrich <geliudie@uni-duesseldorf.de>

Maintainer: Claus Jonathan Fritzemeier <clausjonathan.fritzemeier@uni-duesseldorf.de>

References

Edwards, J. S., Covert, M and Palsson, B. Ø. (2002) Metabolic modelling of microbes: the flux-balance approach. Environ Microbiol 4, 133–140.

Edwards, J. S., Ibarra, R. U. and Palsson, B. Ø. (2001) In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data. Nat Biotechnol 19, 125–130.

See Also

Constructor function sysBiolAlg and superclass sysBiolAlg.

Examples

1
  showClass("sysBiolAlg_fba")

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