Session 4.1f - Pre-Reading [The Protein Folding Revolution] Flashcards

https://www.youtube.com/watch?v=cAJQbSLlonI

You may prefer our related Brainscape-certified flashcards:
1
Q

What do proteins do?

A

Carry out the labour in our cells.

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2
Q

Why is a protein’s shape important?

A

The key to proteins is their shape because that dictates their function.

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3
Q

What shapes can proteins make?

A

They can take many different shapes.

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4
Q

What do scientists call the shapes proteins can make?

A

Folds

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5
Q

What is a protein made up of i.e. what it its base when it is unfolded?

A

Unfolded, a protein is a long string of amino acids.

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6
Q

How many amino acids are there?

A

20

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7
Q

What is significant about each amino acid?

A

Each one of them has its own chemical behaviour.

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8
Q

What happens when a protein folds up?

A

When a protein folds up, you get a long tangled piece of spaghetti with all these different chemical functionalities on it.

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9
Q

How long did it take for a protein’s shape to evolve in nature?

A

Its 3D shape evolved over billions of years

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10
Q

Why did it take billions of years for a protein’s shape to evolve?

A

They have evolved so they are optimised to do very specific jobs

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11
Q

How are proteins optimised to do specific jobs?

A

Each protein’s 3D shape has evolved over millions of years

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12
Q

Why is it important to understand the minute details of the structure of proteins?

A

If you can understand the minute details of the structure of proteins – not only do you get insights into their function – you might be able to change that function.

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13
Q

List two reasons why it is important to understand the structure of proteins?

A
  • understand their function

- to alter their function

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14
Q

What is the protein folding problem?

A

Researchers have been trying for many years to solve the protein folding problem:

“Can we just look at the sequence of amino acids and predict how a protein is going to fold?”

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15
Q

How could you predict how an amino acid might fold into a protein using algorithms?

A

You could take the amino acid sequence, plug it into a computer, and see if your algorithms are good enough to make sense of how it might fold.

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16
Q

How can you use imaging to predict how an amino acid might fold into a protein?

A

You can use X-ray crystallography or other techniques to image a protein structure

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17
Q

What is the caveat of using X-ray crystallography to predict how an amino acid might fold into a protein?

A

You can use X-ray crystallography or other techniques to image a protein structure but that hasn’t been done for very many kinds of proteins.

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18
Q

How can protein folding be predicted from genome sequence data?

A

Could all the genome sequence data – the three billions letters in our genome and the billions in all the other genomes out there – could they scan that code, which is separate from the amino acid code of proteins, and learn anything about how proteins might fold?

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19
Q

When did researchers begin to question genome sequencing data in relation to protein folding?

A

A couple of decades ago (mid 90s)

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20
Q

How many letters in our genome?

A

3 billion

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21
Q

How many letters in other species’ genomes?

A

Billions (generic)

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22
Q

What does DNA code for?

A

RNA

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23
Q

What does RNA do?

A

It is translated into proteins

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24
Q

How do we get from DNA to proteins?

A

The DNA in our genes codes for RNA, which is translated into proteins.

25
Q

How many DNA letters are there?

A

4 (A C G T)

26
Q

How many amino acid letters are there?

A

20

27
Q

What is the numerical relationship between the number of DNA letters and the number of amino acid letters?

A

There’s a relationship between the 4-letter DNA code and the 20-letter amino acid sequences of proteins.

28
Q

How might the 6th amino acid in a sequence end up next to the 18th amino acid in the sequence in a protein (as opposed to the 5th or 7th)?

A

Because a protein wraps around in many different twists and turns – the 6th amino acid in that chain might end up next to the 18th amino acid.

29
Q

What does it mean for the amino acid sequence if a protein wraps around in many different twists and turns?

A

The 6th amino acid in that chain might end up next to the 18th amino acid, for example - i.e., an amino acid might not end up next to its sequential amino acid in its fully folded form of a protein.

30
Q

What does it mean if two amino acids in a sequence end up next to each other in the final protein?

A

If they end up next to each other, researchers realised there might be an interaction between the pair that is critical to the shape of the protein and therefore its function.

31
Q

What does it mean if two amino acids in a sequence end up next to each other in the final protein for the shape of the protein?

A

There might be an interaction between the pair that is critical to the shape of the protein

32
Q

What does it mean if two amino acids in a sequence end up next to each other in the final protein for the function of the protein

A

There might be an interaction between the pair that is critical to the shape of the protein and therefore its function.

33
Q

How can mutations of 2 amino acids preserve protein function?

A

The 6th amino acid in that chain might end up next to the 18th amino acid, for example.

If they end up next to each other, researchers realised there might be an interaction between the pair that is critical to the shape of the protein and therefore its function.

If that’s true then a mutation in the DNA that changes one of the amino acids must be accompanied by another mutation to the other member of the pair to preserve the interaction.

34
Q

What happens if there is a mutation in the DNA that changes one of the amino acids?

A

The protein is disrupted because interactions to form its final tertiary structure is lost, changing the shape and therefore function.

35
Q

What happens if there is a mutation in the DNA that changes one of the amino acids and also a mutation in the DNA of the amino acid it normally interacts with?

A

This will preserve the interaction

  • a mutation in the DNA that changes one of the amino acids must be accompanied by another mutation to the other member of the pair to preserve the interaction.
36
Q

What is the term used to describe DNA mutations in more than one amino acid that interacts e.g. if the 6th amino acid normally interacts with the 18th amino acid in a chain, but then BOTH of these amino acids endure mutations?

A

Co-evolve

37
Q

What does it mean for amino acids to co-evolve?

A

When a mutation in the DNA that changes one of the amino acids is accompanied by another mutation to the other member of the pair to preserve the interaction.

38
Q

How can genome sequences be used in algorithms to predict protein folding?

A

Well, if you can log maybe a hundred or more of those cases of close-by neighbours in 3D space, based on looking at many genome sequences, then you can plug that into your folding program.

39
Q

What is necessary to know about an amino acid sequence and its subsequent protein before looking at its function (NB: think shape!)?

A

How the protein and its amino acids appear in 3D space.

40
Q

What is the benefit of notating into an algorithm how proteins fold based on nearby amino acid sequences that interact?

A

Now that it has all these tight constraints it gives a much better chance of getting a really accurate structure

41
Q

Describe a way that works to predict protein folding

A

Using genomic sequences to predict amino acid interaction and therefore protein folding

42
Q

Other than accuracy, what is a novel benefit to being able to use genomic sequences to predict protein folding?

A

The upshot is scientists can fold lots of proteins that they never could before.

43
Q

Why is it important to be able to predict how proteins fold?

A

That’s important because it will give new insights into how these proteins work.

44
Q

What methods can be used to predict protein folding?

A
  • Amino acid sequence algorithms
  • X-ray crystallography (or other techniques)
  • Genome data algorithms
45
Q

What are the benefits to using genomic data to predict protein folding?

A
  • ACCURACY in predicted structure
  • Many proteins can now be folded that were unable to be visualised before (COMPREHENSIVENESS)
  • Gives new insight into how these proteins WORK
  • Able to create NEW proteins
46
Q

How have researchers been able to design their own proteins?

A

Researchers have been steadily improving the ability of computers to model the shape of proteins, and this now enables them to design their own proteins

47
Q

Researchers have been steadily improving the ability of computers to model the shape of proteins.

As well as being able to predict the function of many more new proteins accurately, what else can this be used for?

A

This enables them to design their own proteins, making things never seen before in nature.

48
Q

What does researchers being able to design their own proteins allow?

A

Them to make things never seen before in nature.

49
Q

Give an application of researchers being able to design their own proteins.

A

Medicine

50
Q

Give 2 examples of novel proteins being designed for use in medicine.

A
  • They can target very specific parts of the flu virus with a special built protein – enabling a vaccine that works across flu strains.
  • They’ve designed proteins that naturally assemble into tiny cages that can deliver different molecules in the body.
51
Q

How can novel proteins being produced be used to target the flu virus?

A

Very specific parts of it can be targeted by a special built protein

52
Q

What does targeting specific parts of the flu virus from novel proteins enable?

A

A vaccine that works across flu strains

53
Q

How can novel proteins be used to deliver different molecules in the body?

A

Proteins can be designed that naturally assemble into tiny cages

54
Q

Proteins can be designed that naturally assemble into tiny cages.

Suggest ONE application for this.

A

These can deliver different molecules in the body

55
Q

How can novel protein design be used in surfaces that aren’t biological, e.g. solar cells and electronic devices.

A

New materials, like engineered surfaces that self-assemble could be used in solar cells and electronic devices

56
Q

Give 2 examples of where engineered surfaces that self-assemble could be used somewhere other than the body.

A
  • Solar cells

- Electronic devices

57
Q

Give 3 examples of how the understanding of protein folding and its application can be used. Include one non-medicinal application.

A

This information can be used to design new proteins to:

  • Target very specific parts of the flu virus with a special built protein – enabling a vaccine that works across flu strains.
  • Design proteins that naturally assemble into tiny cages that can deliver different molecules in the body.
  • New materials, like engineered surfaces that self-assemble could be used in solar cells and electronic devices
58
Q

Briefly, how does X-ray crystallography work?

A
  • An X-RAY is fired at the protein
  • Each PROTEIN CRYSTAL has a unique shape
  • The unique shape then causes SCATTERED X-RAYS to form a unique pattern
  • This is then detected by an X-RAY DETECTOR
  • The detector is connected to a computer to create an image of ATOMS IN PROTEIN CRYSTAL