Literature DB >> 2745429

Graphic rules in steady and non-steady state enzyme kinetics.

K C Chou1.   

Abstract

Graphic methods, when applied to enzyme kinetics, can provide a visually intuitive relation between calculations and reaction graphs. This will not only greatly raise the efficiency of calculations but also significantly help the analysis of enzyme kinetic mechanisms. In this paper, four graphic rules are presented. Rules 1-3 are established for steady state enzyme-catalyzed reaction systems and Rule 4 is for non-steady state ones. In comparison with conventional graphic methods which can only be applied to steady state systems, the present rules have the following merits. 1) Complicated and tedious calculations can be greatly simplified; for example, in calculating the concentrations of enzyme species for the bi-bi random mechanism, the calculation work can be reduced 8-fold compared with the King-Altman's method. 2) A great deal of wasted labor can be avoided; for example, in calculating the rate of product formation for the same mechanism, the operation of finding and removing the 96 reciprocally canceled terms is no longer needed because they automatically disappear during the derivation. 3) Final results can be easily and safely checked by a formula provided in each of the graphic rules. 4) Non-steady state systems can also be treated by the present graphic method; for example, applying Rule 4, one can directly write out the solution for a non-steady state enzyme-catalyzed system, without the need to follow more difficult and complicated operations to solve differential equations. The mathematical proofs of Rules 1-4 are given in Appendices A-D (in the Miniprint), respectively.

Mesh:

Substances:

Year:  1989        PMID: 2745429

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  49 in total

1.  Computer program for the expression of the kinetic equations of enzyme reactions as functions of the rate constants and the initial concentrations.

Authors:  R Varón; B H Havsteen; M García; F García Cánovas; J Tudela
Journal:  Biochem J       Date:  1990-09-15       Impact factor: 3.857

Review 2.  Designing and encoding models for synthetic biology.

Authors:  Lukas Endler; Nicolas Rodriguez; Nick Juty; Vijayalakshmi Chelliah; Camille Laibe; Chen Li; Nicolas Le Novère
Journal:  J R Soc Interface       Date:  2009-04-01       Impact factor: 4.118

3.  A molecular piston mechanism of pumping protons by bacteriorhodopsin.

Authors:  K C Chou
Journal:  Amino Acids       Date:  1994-02       Impact factor: 3.520

4.  iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule.

Authors:  Nguyen Quoc Khanh Le
Journal:  Mol Genet Genomics       Date:  2019-05-04       Impact factor: 3.291

5.  A study of the Immune Epitope Database for some fungi species using network topological indices.

Authors:  Severo Vázquez-Prieto; Esperanza Paniagua; Hugo Solana; Florencio M Ubeira; Humberto González-Díaz
Journal:  Mol Divers       Date:  2017-05-31       Impact factor: 2.943

6.  Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysis.

Authors:  Bin Liu; Junjie Chen; Xiaolong Wang
Journal:  Mol Genet Genomics       Date:  2015-04-21       Impact factor: 3.291

7.  Comparative docking study of anibamine as the first natural product CCR5 antagonist in CCR5 homology models.

Authors:  Guo Li; Kendra M Haney; Glen E Kellogg; Yan Zhang
Journal:  J Chem Inf Model       Date:  2009-01       Impact factor: 4.956

8.  iNuc-PhysChem: a sequence-based predictor for identifying nucleosomes via physicochemical properties.

Authors:  Wei Chen; Hao Lin; Peng-Mian Feng; Chen Ding; Yong-Chun Zuo; Kuo-Chen Chou
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

9.  Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network.

Authors:  Bi-Qing Li; Tao Huang; Lei Liu; Yu-Dong Cai; Kuo-Chen Chou
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

10.  Protein domain boundary predictions: a structural biology perspective.

Authors:  Svetlana Kirillova; Suresh Kumar; Oliviero Carugo
Journal:  Open Biochem J       Date:  2009-01-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.