Enzymes are biological catalysts vital to life processes and have attracted century-long investigation. The classic Michaelis-Menten mechanism provides a highly satisfactory description of catalytic activities for large ensembles of enzyme molecules. Here we tested the Michaelis-Menten equation at the single-molecule level. We monitored long time traces of enzymatic turnovers for individual b-g...

Many problems of enzyme kinetics can be described by a function known as the Michaelis-Menten (M-M) function. In this paper, motivated by the importance of Michaelis-Menten function in biochemistry and other biological phenomena, we have introduced a new class of generalized Pearson distribution arising from Michaelis-Menten function. Various properties of this distribution are derived, for exa...

We demonstrate the versatility of Al2O3-passivated Si nanowire devices ("nanoribbons") in the analysis of enzyme-substrate interactions via the monitoring of pH change. Our approach is shown to be effective through the detection of urea in phosphate buffered saline (PBS), and penicillinase in PBS and urine, at limits of detection of <200 μM and 0.02 units/mL, respectively. The ability to extrac...

This current study addresses the effect of diazinon on reversible kinetic parameters such as Michaelis-Menten constant (KS) and Vmax of bovine retinal acetylcholinesterase (AChE). The Ks for the hydrolysis of acetylthiocholine iodide by AChE was increased while Vmax was decreased than the control value in the presence of the diazinon. A LineweaverBurk plot, Dixon plot and their secondary replot...

The ecological forecasting of microorganisms and water quality dynamics in Krasnoyarsk reservoir is based on knowledge of dependence of specific growth rate (SGR) on limiting substrata. It investigated the influence of soil extract on the growth autochtonic bacterioplankton of Krasnoyarsk reservoir. The maximum SGR and Michaelis-Menten constant (on chemical oxidation decomposition (COD) permang...