RNA Structure Prediction MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on RNA Structure Prediction, a fundamental topic in the field of Bioinformatics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our RNA Structure Prediction MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of RNA Structure Prediction mcq questions that explore various aspects of RNA Structure Prediction problems. Each MCQ is crafted to challenge your understanding of RNA Structure Prediction principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Bioinformatics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our RNA Structure Prediction MCQs are your pathway to success in mastering this essential Bioinformatics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of RNA Structure Prediction. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your RNA Structure Prediction knowledge to the test? Let's get started with our carefully curated MCQs!

RNA Structure Prediction MCQs | Page 9 of 9

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Q81.
______ molecules can simply be identified based on their sequence similarity with already-known sequences.

a.

Larger, less conserved

b.

Larger, highly conserved

c.

smaller, highly conserved

d.

shorter, highly conserved

Discuss
Answer: (b).Larger, highly conserved
Q82.
One of the first methods used to find tRNA genes was to search for sequences that are complementary and can fold into a knot like the three found in tRNAs.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (b).False
Q83.
Fichant and Burks (1991) described a program, tRNAscan, that searches a genomic sequence with a sliding window searching simultaneously for matches to a set of invariant bases and conserved self-complementary regions in tRNAs with an accuracy of 97.5%.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q84.
The probabilistic model was used to identify small nucleolar (sno) RNAs in the yeast genome that methylate ribosomal RNA.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q85.
The probability model mentioned above was a hybrid combination of HMMs and SCFGs trained on sno RNAs.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q86.
Which of the following is untrue regarding RNA structure?

a.

RNA structure 4.6 is a Windows implementation of the Zuker algorithm

b.

It includes additional options for other folding algorithms and incorporation of experimental data

c.

The authors of RNA structure collaborate very closely with the Turner laboratory and keep the most up-to-date thermodynamic parameters

d.

The OligoWalk program cannot be used for siRNA design

Discuss
Answer: (d).The OligoWalk program cannot be used for siRNA design
Q87.
Which of the following is untrue about Vienna RNA Websuite?

a.

It introduced the Wuchty algorithm, developed applications of the McCaskill algorithm

b.

It also offers a wide variety of algorithms and functions

c.

The Wuchty algorithm generates a small but complete set of suboptimal structures

d.

The Wuchty algorithm computes some possible tertiary structures within a narrow free-energy range

Discuss
Answer: (d).The Wuchty algorithm computes some possible tertiary structures within a narrow free-energy range
Q88.
Which of the following is untrue about the Sfold algorithm?

a.

It uses a unique algorithm to aid in the design of siRNA

b.

The algorithm combines thermodynamic stabilities, calculations of target accessibility, and empirical rules

c.

The website offers specialized programs for the design of siRNA, antisense RNA, trans-cleaving RNA, and mRNA-microRNA interactions

d.

The website doesn’t offer programs for the design of a general program for statistically sampling suboptimal RNA structures

Discuss
Answer: (d).The website doesn’t offer programs for the design of a general program for statistically sampling suboptimal RNA structures
Q89.
If the centroid structure is different from the minimum free-energy structure, the centroid structure is often closer to the phylogenetic prediction and contains fewer base pairs, or fewer false-positive base pair predictions, than the minimum free-energy prediction.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
Q90.
The ILM program uses an iterative loop matching algorithm to maximize base pairs and allows pseudoknots to form by allowing base. pairs to be added or removed in successive rounds.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True
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