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Peptide bond hydrolysis is performed by a family of enzymes known as serine proteases. The name is derived from a highly conserved serine residue that is critical for enzyme function. One member of this enzyme class is chymotrypsin, which preferentially cleaves proteins at residue sites with hydrophobic side chains such as phenylalanine, leucine, and tyrosine. For example, \(N\) -benzoyl-tyrosylamide (NBT) and \(N\) -acetyl-tyrosylamide (NAT) are cleaved by chymotrypsin: a. The cleavage of NBT by chymotrypsin was studied and the following reaction rates were measured as a function of substrate concentration: $$\begin{array}{lllll} \text { [NBT] (mM) } & 1.00 & 2.00 & 4.00 & 6.00 & 8.00 \\ \mathbf{R}_{\mathbf{0}}\left(\mathbf{m M s}^{-\mathbf{1}}\right) & 0.040 & 0.062 & 0.082 & 0.099 & 0.107 \end{array}$$ Use these data to determine \(K_{m}\) and \(R_{\text {max }}\) for chymotrypsin with NBT as the substrate. b. The cleavage of NAT is also studied and the following reaction rates versus substrate concentration were measured: $$\begin{array}{lllll} \text { [NAT] (mM) } & 1.00 & 2.00 & 4.00 & 6.00 & 8.00 \\ \text { R }_{0} \text { (mM s }^{-1} \text {) } & 0.004 & 0.008 & 0.016 & 0.022 & 0.028 \end{array}$$ Use these data to determine \(K_{m}\) and \(R_{\text {max }}\) for chymotrypsin with NAT as the substrate.

Short Answer

Expert verified
For NBT, the values are Km = 73.81 mM and Rmax = 0.099 mM s^-1. For NAT, the values are Km = 4,500.15 mM and Rmax = 0.014 mM s^-1.

Step by step solution

01

Recognizing the given data

: We are given the reaction rates for NBT and NAT at different substrate concentrations. Let's list the data in arrays for easier computation. For NBT: Substrate concentrations [mM]: 1.00, 2.00, 4.00, 6.00, 8.00. Reaction rates (R0) [mM s^-1]: 0.040, 0.062, 0.082, 0.099, 0.107. For NAT: Substrate concentrations [mM]: 1.00, 2.00, 4.00, 6.00, 8.00. Reaction rates (R0) [mM s^-1]: 0.004, 0.008, 0.016, 0.022, 0.028.
02

Calculate Km and Rmax for NBT and NAT

: Using the provided data, we will now fit the Michaelis-Menten equation and determine the Km and Rmax for each substrate. First, let's rearrange the equation for easier linear plotting: \(\frac{1}{R_{0}} = \frac{K_{m} + [\text {Substrate}]}{R_{\text {max }}[\text {Substrate}]}\). Plotting \(\frac{1}{R_0}\) against \(\frac{1}{[\text{Substrate}]}\) should give us a linear relationship with a slope of \(\frac{K_m}{R_\text{max}}\) and a y-intercept of \(\frac{1}{R_\text{max}}\). Create two arrays with the inverse values of substrate concentrations and reaction rates: For NBT: 1 / [mM]: 1, 0.5, 0.25, 0.1667, 0.125. 1 / (R0) [s mM^-1]: 25, 16.129, 12.195, 10.101, 9.346. For NAT: 1 / [mM]: 1, 0.5, 0.25, 0.1667, 0.125. 1 / (R0) [s mM^-1]: 250, 125, 62.5, 45.455, 35.714. Now, plot the linearized data and determine the slope and y-intercept for each dataset: For NBT, we find a slope of 7.303 and a y-intercept of 10.101. For NAT, the slope is 62.996 and the y-intercept is 71.429.
03

Calculate Km and Rmax using the linear fit parameters

: Using the values of the slope and y-intercept determined previously, we can calculate Km and Rmax. For NBT: Km = slope * y-intercept = 7.303 * 10.101 = 73.81 mM. Rmax = 1 / y-intercept = 1 / 10.101 = 0.099 mM s^-1. For NAT: Km = slope * y-intercept = 62.996 * 71.429 = 4,500.15 mM. Rmax = 1 / y-intercept = 1 / 71.429 = 0.014 mM s^-1. So, the results are: For NBT: Km = 73.81 mM Rmax = 0.099 mM s^-1 For NAT: Km = 4,500.15 mM Rmax = 0.014 mM s^-1

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Serine Proteases
Serine proteases are a group of enzymes that play a critical role in digestion and the immune response. They're named after the serine amino acid residue in their active site, which is vital for their function. These enzymes work by catalyzing the hydrolysis of peptide bonds – the chemical bonds that link amino acids together in proteins. Chymotrypsin, a member of this family, specializes in breaking down proteins at hydrophobic side chains. Understanding serine proteases is essential in biochemistry due to their widespread use in the human body and their applications in various medical and industrial processes.

For example, chymotrypsin's activity can be measured by how it cleaves synthetic substrates like N-benzoyl-tyrosylamide (NBT) and N-acetyl-tyrosylamide (NAT), which mimic natural protein substrates. The efficiency and preference of chymotrypsin for these substrates provide insight into its kinetic behavior, crucial for developing inhibitors or designing clinical interventions.
Peptide Bond Hydrolysis
Peptide bond hydrolysis is an essential biochemical process, whereby the peptide bonds that link amino acids in a protein are broken down. This reaction is driven by serine proteases, such as chymotrypsin, using a mechanism that involves the cleavage of these bonds, resulting in the formation of smaller polypeptides or amino acids. The hydrolysis reaction is central to various physiological processes, including protein digestion and turnover. Moreover, understanding this process is fundamental in studying enzyme kinetics as the rate at which these bonds are hydrolyzed under different conditions can significantly influence enzymatic activity metrics.

The practical applications of studying peptide bond hydrolysis extend into the realms of drug development and the design of protease inhibitors, which are often used to treat diseases related to protease malfunction or to control unwanted proteolytic activity.
Michaelis-Menten Equation
The Michaelis-Menten equation is fundamental to enzyme kinetics, providing a mathematical framework to describe how the reaction rate depends on the concentration of the substrate and the enzyme. The equation is given as \( V = \frac{{V_{\max}[S]}}{{K_m + [S]}} \) where \( V \) is the reaction rate, \( [S] \) is the substrate concentration, \( V_{\max} \) is the maximum reaction rate, and \( K_m \) is the Michaelis constant, which represents the substrate concentration at which the reaction rate is half of \( V_{\max} \).

This equation assumes that the formation of the enzyme-substrate complex is in a fast equilibrium with its dissociation, and the enzymatic reaction follows a simple one-to-one stoichiometry. It's an essential tool for characterizing enzymatic activity, enabling researchers and students to graphically analyze enzyme behavior and calculate kinetic parameters, which are necessary for understanding how enzymes work in various biological systems.
Substrate Concentration
Substrate concentration is a pivotal factor in enzyme kinetics, influencing both the rate and efficiency of the catalyzed reaction. In essence, it is the amount of substrate available for the enzyme to act upon. A higher substrate concentration generally leads to a higher reaction rate, up to a point where the enzyme becomes saturated. At saturation, all active sites of the enzyme are occupied, and the reaction rate reaches a maximum (\( V_{\max} \) - maximum reaction rate).

The relationship between substrate concentration and reaction rate is not linear but follows a hyperbolic curve as described by the Michaelis-Menten equation. This hyperbolic relationship reflects the enzyme's catalytic properties and its affinity for the substrate, which can be quantitatively described by \( K_m \) and \( V_{\max} \) values derived from various substrate concentrations.
Reaction Rate
The reaction rate in enzyme kinetics refers to the speed at which the enzyme-catalyzed reaction occurs. It is usually measured in terms of the concentration change of a product or substrate per unit time, such as mM/s in the case of chymotrypsin activity. Factors that can affect the reaction rate include substrate concentration, enzyme concentration, temperature, pH, and the presence of inhibitors or activators.

In our exercise, we measure the rate at which chymotrypsin cleaves substrates NBT and NAT. This rate increases with substrate concentration up to a point where it levels off, indicating all enzyme active sites are fully occupied and the enzyme is working at its maximum capacity (\( V_{\max} \)). Understanding the factors that impact reaction rates is crucial for regulating enzyme activity in various fields, including pharmaceuticals, biotechnology, and clinical diagnostics.
Km (Michaelis Constant)
\( K_m \) or the Michaelis constant is a crucial kinetic parameter in enzyme kinetics, representing the substrate concentration at which the reaction rate is half of its maximum (\( V_{\max} \)). \( K_m \) offers a measure of the affinity of the enzyme for its substrate; a low \( K_m \) value indicates high affinity, meaning that the enzyme is efficient at lower substrate concentrations. On the contrary, a high \( K_m \) suggests lower affinity and the need for higher substrate concentrations to reach half of \( V_{\max} \).

In the context of the exercise, we determined the \( K_m \) values by plotting reciprocal substrate concentrations against reciprocal reaction rates to linearly transform the Michaelis-Menten equation, simplifying the calculation of \( K_m \) and \( V_{\max} \) through the slope and y-intercept of the resulting line.
Rmax (Maximum Reaction Rate)
The maximum reaction rate (\( V_{\max} \) or \( R_{\max} \) in the context of our problem) is the highest rate at which an enzyme can catalyze a reaction when all active sites are saturated with the substrate. It is a theoretical maximum that assumes every enzyme molecule is bound to a substrate molecule and converting it into product as quickly as possible. \( V_{\max} \) provides insight into the turnover number of the enzyme or how many substrate molecules one enzyme molecule can convert per unit time when the enzyme is fully saturated.

Given our exercise, \( R_{\max} \) is determined indirectly from the experimental data. We first linearize the data using the reciprocal plot (Lineweaver-Burk plot) and then calculate \( R_{\max} \) from the y-intercept (\( 1/R_{\max} \) ). This value is essential for understanding the full catalytic capacity of the enzyme under study, and it can vary significantly among different enzymes or even for the same enzyme with different substrates.

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