Quiz lecture 9

Quiz lecture 9

Assessment

Quiz

Created by

Keni Vidilaseris

Other

University

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13 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What shape is the energy landscape of an amino acid sequence with folding ability toward a folded structure?

Flat

Rugged

Funnel-shaped

Spherical

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What method treats protein sequence design as an energy optimization problem?

ProteinMPNN

Rosetta

Deep learning models

Computational filtering

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does ProteinMPNN utilize to improve its model?

Sequence similarity above 70%

Categorical cross-entropy loss per residue

Random decoding order

Backbone building

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main objective of using RFdiffusion in protein design?

To maximize protein size

To minimize protein diversity

To generate endlessly diverse outputs

To simplify protein synthesis

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does RFdiffusion create new protein structures?

By refining random noise into realistic structures

By following a fixed left-to-right decoding order

By predicting amino acids based on energy levels

By copying sequences from existing proteins

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What role does self-conditioning play in RFdiffusion's training?

It decreases model accuracy

It enhances prediction accuracy by considering previous steps

It simplifies the model architecture

It increases the diversity of the outputs

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What indicates a successful design by ProteinMPNN and RFdiffusion?

High sequence recovery rate

Low sequence recovery rate

Minimal energy consumption

Simplistic design models

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