scholarly journals Mathematical expressions describing enzyme velocity and inhibition at high enzyme concentration

2021 ◽  
Author(s):  
Agustin Hernandez

ABSTRACTEnzyme behaviour is typically characterised in the laboratory using very diluted solutions of enzyme. However, in vivo processes usually occur at [ST] ≈ [ET] ≈ Km. Furthermore, the study of enzyme action usually involves analysis and characterisation of inhibitors and their mechanisms. However, to date, there have been no reports proposing mathematical expressions that can be used to describe enzyme activity at high enzyme concentration apart from the simplest single substrate, irreversible case. Using a continued fraction approach, equations can be easily derived to apply to the most common cases in monosubstrate reactions, such as irreversible or reversible reactions and small molecule (inhibitor or activator) kinetic interactions. These expressions are simple and can be understood as an extension of the classical Michaelis-Menten equations. A first analysis of these expressions permits to deduce some differences at high vs low enzyme concentration, such as the greater effectiveness of allosteric inhibitors compared to catalytic ones. Also, they can be used to understand catalyst saturation in a reaction. Although they can be linearised following classical approaches, these equations also show some differences that need to be taken into account. The most important one may be the different meaning of line intersection points in Dixon plots. All in all, these expressions may be useful tools for the translation in vivo of in vitro experimental data or for modelling in vivo and biotechnological processes.

Author(s):  
Shangfei Wei ◽  
Tianming Zhao ◽  
Jie Wang ◽  
Xin Zhai

: Allostery is an efficient and particular regulatory mechanism to regulate protein functions. Different from conserved orthosteric sites, allosteric sites have distinctive functional mechanism to form the complex regulatory network. In drug discovery, kinase inhibitors targeting the allosteric pockets have received extensive attention for the advantages of high selectivity and low toxicity. The approval of trametinib as the first allosteric inhibitor validated that allosteric inhibitors could be used as effective therapeutic drugs for treatment of diseases. To date, a wide range of allosteric inhibitors have been identified. In this perspective, we outline different binding modes and potential advantages of allosteric inhibitors. In the meantime, the research processes of typical and novel allosteric inhibitors are described briefly in terms of structureactivity relationships, ligand-protein interactions and in vitro and in vivo activity. Additionally, challenges as well as opportunities are presented.


2010 ◽  
Vol 9 (5) ◽  
pp. 1136-1146 ◽  
Author(s):  
Kuzhuvelil B. Harikumar ◽  
Ajaikumar B. Kunnumakkara ◽  
Nobuo Ochi ◽  
Zhimin Tong ◽  
Amit Deorukhkar ◽  
...  

2014 ◽  
Vol 106 (2) ◽  
pp. 621a
Author(s):  
Tatiana Kolesnikova ◽  
Cindy Kroll ◽  
Sujit Verma ◽  
Gerd Klöck ◽  
Sebastian Springer ◽  
...  

2010 ◽  
Vol 83 (Suppl_1) ◽  
pp. 344-344
Author(s):  
Patricia Y. Akinfenwa ◽  
Nonna V. Kolomeyevskaya ◽  
Claire M. Mach ◽  
Zhen Li ◽  
Matthew L. Anderson

2000 ◽  
Vol 30 (3) ◽  
pp. 489-492 ◽  
Author(s):  
Cláudio Bellaver ◽  
Dirceu Luís Zanotto ◽  
Antônio Lourenço Guidoni ◽  
Claudete Hara Klein

In vitro protein digestibility of protein sources has been correlated with in vivo digestibility values. However, factors like protein origin, enzyme used and its concentration, pH and processing have been related with the significance of the correlation between the estimates. To address only the enzyme concentration factor, this paper had the objective of testing pepsin at 0.2, 0.02, 0.002 and 0.0002% using the standard AOAC (1995) procedure. Two meat and bone meals (MBM) with low and high crude protein (CP) content were used to determine the coefficient of solubility of CP in pepsin and HCl (CSCPPEPH). Centrifugation was used to establish the nitrogen (N) in the soluble phase, instead of filtration and analysis of N in the residue. The variance analysis and a non-linear asymptotic model were adjusted. The CSCPPEPH under different pepsin concentrations for the two MBM showed higher solubility discrimination with low pepsin concentration. The level of 0.0002% pepsin is better to predict the CP soluble in MBM. This finding implies the assumption that 0.2% pepsin found in the AOAC is not correct for the purpose of determining the range of solubility in high and low CP content in MBM.


EBioMedicine ◽  
2017 ◽  
Vol 25 ◽  
pp. 22-31 ◽  
Author(s):  
Seung Ho Shin ◽  
Do Young Lim ◽  
Kanamata Reddy ◽  
Margarita Malakhova ◽  
Fangfang Liu ◽  
...  

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