Quiz Lecture 8

Who developed AlphaFold2?

• DeepMind
• OpenAI
• IBM
• Microsoft

What was AlphaFold2's major achievement in 2020?

• Winning a chess competition

• Outperforming other programs at the CASP14 contest

• Discovering a new protein

• Discovering his air-bender ability

AlphaFold2 uses which of the following methodologies for predicting protein structures?

• Quantum computing

• Deep learning

• Deep mind

• Deep sleep

How many parts is the AlphaFold2 architecture divided into?

• 2
• 3
• 5
• 4

What is the purpose of the database search and preprocessing part of AlphaFold2's architecture?

• To generate a protein contact map

• To predict the final 3D structure

• To find its soulmate and do pairing

• To generate multiple sequence alignment (MSA) and pair representation

What is the role of Evoformer in AlphaFold2?

• To generate MSAs

• To extract information about the relationship between residues

• To predict side chain chi angles

• • To run a relaxation process on the final structure

What kind of neural network is used in the Evoformer part of AlphaFold2?

• Convolutional Neural Network

• Recurrent Neural Network

• Transformer Neural Network

• Feedforward Neural Network

The pLDDT metric in AlphaFold2 is used to assess:

• The overall accuracy of the model

• The predicted accuracy of individual amino acid positions

• The similarity between predicted and experimental structures

• The confidence in relative positions of domains

pLDDT is a confidence score that evaluates:

• The similarity between the template and model structure

• The predicted accuracy of individual amino acid positions

• The confidence in the relative position of domains

• The overall model accuracy

In the context of AlphaFold2, a high pLDDT score indicates:

• Low confidence in the predicted structure

• A disordered region in the protein

• High confidence in the predicted structure

• The need for further experimental validation