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Here’s the fractional binding data for 2 different proteins (1 and 2) binding to a Drug D. Which of the following statements is/are true?     1 of 5: Each Protein 1 must only bind 1 molecule of D. 2 of 5: Each Protein 2 must bind 2 or more molecules of D. 3 of 5: Protein 2 binds significantly more D than Protein 1. 4 of 5: Protein 1 and 2 have roughly similar binding affinities for D. 5 of 5: Protein 1 binds faster to D than protein 2 does at low concentrations of D.

Here’s the fractional binding data for 2 different proteins (1 and 2) binding to a Drug D. Which of the following statements is/are true?     1 of 5: Each Protein 1 must only bind 1 molecule of D. 2 of 5: Each Protein 2 must bind 2 or more molecules of D. 3 of 5: Protein 2 binds significantly more D than Protein 1. 4 of 5: Protein 1 and 2 have roughly similar binding affinities for D. 5 of 5: Protein 1 binds faster to D than protein 2 does at low concentrations of D.

Biochemistry
Biochemistry
9th Edition
ISBN:9781319114671
Author:Lubert Stryer, Jeremy M. Berg, John L. Tymoczko, Gregory J. Gatto Jr.
Publisher:Lubert Stryer, Jeremy M. Berg, John L. Tymoczko, Gregory J. Gatto Jr.
Chapter1: Biochemistry: An Evolving Science
Section: Chapter Questions
Problem 1P
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Here’s the fractional binding data for 2 different proteins (1 and 2) binding to a Drug D. Which of the following statements is/are true?
 
 
1 of 5: Each Protein 1 must only bind 1 molecule of D.
2 of 5: Each Protein 2 must bind 2 or more molecules of D.
3 of 5: Protein 2 binds significantly more D than Protein 1.
4 of 5: Protein 1 and 2 have roughly similar binding affinities for D.
5 of 5: Protein 1 binds faster to D than protein 2 does at low concentrations of D.
### Graph Explanation #### Title: Drug Concentration vs. Response (Y) This graph illustrates the relationship between drug concentration and the corresponding response, denoted as "Y". The x-axis represents the drug concentration in molarity (M), ranging from 0 to approximately 9x10^-6 M. The y-axis represents the response level, ranging from 0 to 1. #### Curves: - **Curve 1**: The lower curve shows an initial steep increase in response with increasing drug concentration, eventually plateauing. This trend indicates that as drug concentration increases, the response increases rapidly at first but then levels off, suggesting saturation. - **Curve 2**: The upper curve starts with a similar steep slope but reaches a higher plateau compared to Curve 1. This suggests a stronger or more efficient response at comparable drug concentrations. #### Interpretation: - Both curves show typical saturating behavior, indicative of many biological systems where a maximal response is reached. - Curve 2's higher plateau suggests that under certain conditions, perhaps due to a more potent formulation or different receptor interaction, a more significant response can be achieved. This graph is valuable for understanding drug dynamics and optimizing dosage to achieve desired therapeutic effects while minimizing potential side effects.
Transcribed Image Text:### Graph Explanation #### Title: Drug Concentration vs. Response (Y) This graph illustrates the relationship between drug concentration and the corresponding response, denoted as "Y". The x-axis represents the drug concentration in molarity (M), ranging from 0 to approximately 9x10^-6 M. The y-axis represents the response level, ranging from 0 to 1. #### Curves: - **Curve 1**: The lower curve shows an initial steep increase in response with increasing drug concentration, eventually plateauing. This trend indicates that as drug concentration increases, the response increases rapidly at first but then levels off, suggesting saturation. - **Curve 2**: The upper curve starts with a similar steep slope but reaches a higher plateau compared to Curve 1. This suggests a stronger or more efficient response at comparable drug concentrations. #### Interpretation: - Both curves show typical saturating behavior, indicative of many biological systems where a maximal response is reached. - Curve 2's higher plateau suggests that under certain conditions, perhaps due to a more potent formulation or different receptor interaction, a more significant response can be achieved. This graph is valuable for understanding drug dynamics and optimizing dosage to achieve desired therapeutic effects while minimizing potential side effects.
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