Ans.5) Option B : Fc
Explanation : Fc is the tail region of an antibody that interacts with cell surface receptors called Fc receptors and some proteins of the complement system. Fab is "antigen-binding" region of antibody , it is composed of one constant and one variable domain from each heavy and light chain of the antibody ,
5. Which of the following parts of the IgG molecule are not involved in binding to...
The binding of a hormone to three different protein receptors is measured in separate experiments. The table below shows θ, the fractional saturation of each receptor, for various hormone concentrations. Draw a binding curve that plots the data points for Protein 3. Label the axes of your graph, including the correct units. What is the Kd for the interaction of the hormone with Protein 3? Draw binding curves for Proteins 1 and 2 on the same graph. Clearly label which...
Three membrane receptor proteins bind tightly to a hormone. The free hormone concentrations and their corresponding fractions of hormone binding, Y, are given in the table.[Hormone], nMProtein 1 (Y)Protein 2 (Y)Protein 3 (Y)0.200.0480.290.170.500.110.500.331.00.200.670.504.00.500.890.80100.710.950.91200.830.970.95500.930.990.98Select the ?dKd for hormone binding by protein 1.0.93 nM50 nM0.20 nM4.0 nMSelect the protein that binds most tightly to the hormone.protein 1protein 3protein 2
Three membrane receptor proteins bind tightly to a hormone. The free hormone concentrations and their corresponding fractions of hormone binding, Y, are given in the table. [Hormone), nM Protein 1 (Y) Protein 2 (Y) Protein 3 (Y)| 0.20 0.048 0.29 0.17 0.50 0.11 0.50 0.33 1.0 0.20 0.67 0.50 0.50 0.89 0.80 0.71 0.95 0.91 0.83 0.97 0.93 0.99 0.98 0.95 50 Select the K, for hormone binding by protein 2. 0.50 nM 0.99 nM O 0.20 nM 50 nM...
1. Based on the data in the table below (a) what is the Kd for hormone binding by Protein1 and Protein ? (b) Which of these proteins binds most tightly to this hormone? Work this problem on a separate piece of graph paper. Y for Protein 2 ormone concentration (nM) Yfor Protein 1 0.17 0.33 0.5 0.8 0.91 0.95 0.98 0.2 .5 5T 4 10 20 50 0.5 0.67 0.89 0.95 0.97 0.99 2. Calculate the fractional saturation of hemoglobin...
The following results were obtained from an undrained shear box test carried out on a set of undisturbed soil samples. 0.2 0.8 Normal Load (N) Strain (%) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 0 21 46 70 89 107 121 131 136 138 138 137 136 0.4 Shearing force (N) 0 33 72 110 139 164 180 192 201 210 217 224 230 234 237 236 0 45...
The following results were obtained from an undrained shear box test carried out on a set of undisturbed soil samples. 0.2 0.8 Normal Load (N) Strain (%) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 0 21 46 70 89 107 121 131 136 138 138 137 136 0.4 Shearing force (N) 0 33 72 110 139 164 180 192 201 210 217 224 230 234 237 236 0 45...
Use Table 8.1, a computer, or a calculator to answer the following. Suppose a candidate for public office is favored by only 47% of the voters. If a sample survey randomly selects 2,500 voters, the percentage in the sample who favor the candidate can be thought of as a measurement from a normal curve with a mean of 47% and a standard deviation of 1%. Based on this information, how often (as a %) would such a survey show that...
Suppose 1000 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. Exactly 495 heads Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. The probability of getting exactly 495...
Suppose 16 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. More than 11 tails. Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. Binomial probability = (Round to...