A COMPUTER-PROGRAM FOR THE ALGEBRAIC DETERMINATION OF CONTROL COEFFICIENTS IN METABOLIC CONTROL ANALYSIS

被引:14
作者
THOMAS, S
FELL, DA
机构
[1] School Biological/Molecular Sciences, Oxford Brookes University, Headington
关键词
D O I
10.1042/bj2920351
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A computer program (MetaCon) is described for the evaluation of flux control, concentration control and branch-point distribution control coefficients of a metabolic pathway. Requiring only the reaction scheme as input, the program produces algebraic expressions for the control coefficients in terms of elasticity coefficients, metabolite concentrations and pathway fluxes. Any of these variables can be substituted by numeric or simple algebraic expressions; the expressions will then be automatically rearranged in terms of the remaining unknown variables. When all variables have been substituted, numeric values will be obtained for the control coefficients. The program is a computerized implementation of the matrix method for the determination of control coefficients. The features of MetaCon are compared with those of other programs available to workers in Metabolic Control Analysis. Potential benefits of, and methods of using, MetaCon are discussed. The mathematical background and validity of the matrix method rules are discussed, and the algorithm used by MetaCon is described. The matrix method is shown to be a specific case of a previously described general formalism for calculating control coefficients.
引用
收藏
页码:351 / 360
页数:10
相关论文
共 35 条
[1]   APPLICATIONS OF SYMBOLIC ALGEBRAIC COMPUTATION [J].
BROWN, WS ;
HEARN, AC .
COMPUTER PHYSICS COMMUNICATIONS, 1979, 17 (1-2) :207-215
[2]   USE OF IMPLICIT METHODS FROM GENERAL SENSITIVITY THEORY TO DEVELOP A SYSTEMATIC-APPROACH TO METABOLIC CONTROL .1. UNBRANCHED PATHWAYS [J].
CASCANTE, M ;
FRANCO, R ;
CANELA, EI .
MATHEMATICAL BIOSCIENCES, 1989, 94 (02) :271-288
[3]   USE OF IMPLICIT METHODS FROM GENERAL SENSITIVITY THEORY TO DEVELOP A SYSTEMATIC-APPROACH TO METABOLIC CONTROL .2. COMPLEX-SYSTEMS [J].
CASCANTE, M ;
FRANCO, R ;
CANELA, EI .
MATHEMATICAL BIOSCIENCES, 1989, 94 (02) :289-309
[4]  
Cornish-Bowden A., 1990, CONTROL METABOLIC PR
[5]  
CORNISHBOWDEN A, 1991, COMPUT APPL BIOSCI, V7, P89
[6]   METABOLIC CONTROL AND ITS ANALYSIS - ADDITIONAL RELATIONSHIPS BETWEEN ELASTICITIES AND CONTROL COEFFICIENTS [J].
FELL, DA ;
SAURO, HM .
EUROPEAN JOURNAL OF BIOCHEMISTRY, 1985, 148 (03) :555-561
[7]   METABOLIC CONTROL ANALYSIS - A SURVEY OF ITS THEORETICAL AND EXPERIMENTAL DEVELOPMENT [J].
FELL, DA .
BIOCHEMICAL JOURNAL, 1992, 286 :313-330
[8]  
Griss M. L., 1976, ACM Transactions on Mathematical Software, V2, P31, DOI 10.1145/355666.355668
[9]  
HEARN AC, 1985, REDUCE USERS MANUAL
[10]   LINEAR STEADY-STATE TREATMENT OF ENZYMATIC CHAINS - GENERAL PROPERTIES, CONTROL AND EFFECTOR STRENGTH [J].
HEINRICH, R ;
RAPOPORT, TA .
EUROPEAN JOURNAL OF BIOCHEMISTRY, 1974, 42 (01) :89-95