Question

Describe how many opioid receptor subtypes exist. Then, use Multalign to generate an image of multiple...

Describe how many opioid receptor subtypes exist.

Then, use Multalign to generate an image of multiple sequence alignment results.

Homework Answers

Answer #1

1) The opioid system has been divided into four subtypes that work on endogenous peptides :

  • MOP - mu opioid peptide receptor - inhibits respiration and modulates the hormonal and neurotransmitter releases
  • DOP - delta opioid peptide receptor - supraspinal and spinal analgesia and similar modulation of the releases
  • KOP - kappa opioid peptide receptor - psychotomimetic effects and slow gastrointestinal transit
  • NOP - nociceptin orphanin FQ peptide receptor - modulates pain
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Describe how the business/brand might use each of the TBL framework elements to enhance their image...
Describe how the business/brand might use each of the TBL framework elements to enhance their image through their promotional activities.
describe how an arithmetic series is related to an arithmetic sequence. Use an example to model...
describe how an arithmetic series is related to an arithmetic sequence. Use an example to model your answer
Use µ = 2.5 and σ = 1 to generate many independent sets of ten random...
Use µ = 2.5 and σ = 1 to generate many independent sets of ten random numbers, each. If I were to repeatedly carry out the one-sample t-test and significance level α = 0.05 to test the hypothesis that the mean µ used to generate those random numbers was µ = 2.5 for each new vector of ten numbers, how often, on average, would you expect to reject the null hypothesis? Explain how you come to your conclusion.
Many times, multiple variables can be correlated, affecting the outcome of the dependent variable. Describe, in...
Many times, multiple variables can be correlated, affecting the outcome of the dependent variable. Describe, in detail, the process for determining if more than one variable contributes to the outcome of a single dependent variable. How accurate is a regression analysis and how do you know? What attributes of the analysis will determine whether the analysis is accurate and to what extent? Can inaccurate regression analyses be used to an analyzer’s benefit? Explain in detail
Describe a technique for using next-generation sequencing to estimate how many mature mRNA transcripts have been...
Describe a technique for using next-generation sequencing to estimate how many mature mRNA transcripts have been made (including how you have decided to make sure you will only sequence mature mRNA, and not other RNAs)?
What is the Born-Oppenheimer approximation and why is it significant? Describe how you would use the...
What is the Born-Oppenheimer approximation and why is it significant? Describe how you would use the Born-Oppenheimer approximation to generate potential energy curves for the two lowest energy states of and sketch the resulting curves with properly labeled axes. How would you characterize the bonding in these states based upon these curves and why? What is MO theory and how well does its predictions agree with the “exact” Born-Oppenheimer results for ? A sketch might help.
1.) Let’s use glucose as the metabolic fuel for aerobic respiration. How many ATPs would be...
1.) Let’s use glucose as the metabolic fuel for aerobic respiration. How many ATPs would be formed if NAD+were the sole electron carrier cofactor formed throughout the metabolic pathways of glycolysis, the citric acid cycle, and oxidative phosphorylation? How many H+would have to be pumped from the intermembrane space and into the matrix for the ATP synthase to generate all of these ATPs? Answer question 2 (part a and b) but replace NAD+with FAD. In ATP synthase, describe the process...
Use the data mtcars in R: 1. Describe the data in R. (e.g., how many variables,...
Use the data mtcars in R: 1. Describe the data in R. (e.g., how many variables, types of variables). 2. Clean the data by deleting missing values. 3. Normalize the data/standardize the variables. 4. Determine the number of clusters. 5. Use k means cluster analysis. 6. Get cluster means. 7. Visualize the clustering result.
Generate 1000 random numbers from Normal (mean=25, sd=3) and store in a vector. How many of...
Generate 1000 random numbers from Normal (mean=25, sd=3) and store in a vector. How many of these data points are greater than 26? (You can directly use built in functions in R or use conditional/unconditional iterations). Please provide your final R code and the output.
How many hybrid orbitals do we use to describe each molecule? HNO3, C2H5NO (5 C−H bonds...
How many hybrid orbitals do we use to describe each molecule? HNO3, C2H5NO (5 C−H bonds and one O=N bond), BrCN (with no formal charges). Express answer as an integer