CMB2000/L19 Protein Structure Prediction Flashcards

1
Q

What is the term given to multiple copies of the same protein?

A

Homomer

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2
Q

What is the term given to copies of different proteins?

A

Heteromers

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3
Q

What is the PDB?

A

Protein Data Bank

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4
Q

What is the accuracy of modern protein structure prediction algorithms?

A

> 80%

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5
Q

How does a protein structure prediction algorithm such as PSIPRED work? (2)

A

Uses information from alignments using iterative BLAST search
Extracts information using machine learning

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6
Q

Define machine learning.

A

An artificial neural network that has been trained on known secondary structure

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7
Q

Each amino acid in primary structure is given 1 of 3 which states?

A

Helix
Sheet
Coil

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8
Q

What are the 2 main approaches for predicting tertiary structure?

A

Template-based modelling
Ab initio modelling

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9
Q

Why is using a template to predict tertiary structure preferred? (2)

A

More straight-forward
Less computationally expensive

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10
Q

Give 1 downside of using a template to predict secondary structure.

A

Relies on similar protein having had its structure determined

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11
Q

How is the accuracy of protein structure prediction usually assessed?

A

By comparison to known structure

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12
Q

What is the CASP?

A

Critical Assessment of Structure Prediction
Done systematically since 1990s by international competition
Every 2 years since 1994

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13
Q

What is the most popular metric for assessing model quality?

A

Global Distance Test (GDT)

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14
Q

Describe the Global Distance Test (GDT).

A

All segments of 3, 5 and 7 amino acids from model superimposed to actual structure
Each are iteratively extended while they’re good enough
Good enough - distance between all residue pairs (represented by Ca atoms) is less than a threshold

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15
Q

What is the formula for GDT?

A

No. amino acids in segments/total number of amino acids in protein

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16
Q

What is Global Distance Test - Total Score (GDT-TS)?

A

Average of GDT with thresholds of 1, 2, 4 and 8 Angstroms

17
Q

Describe AlphaFold. (3)

A

Protein structure prediction method developed by DeepMind
Starts with protein multiple alignment
Uses sophisticated artificial intelligence (AI) learning to predict structure

18
Q

Describe UniProt.

A

Unified Protein Resource
Sequence of all known proteins plus associated annotation