protein function Flashcards

1
Q

What is protein function?

A

Protein function refers to the different roles and activities that proteins perform in biological processes.

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2
Q

What are the different aspects of protein function?

A

The different aspects of protein function occur in different scales of space and time, ranging from almost instantaneous enzymatic reactions to slower biological processes.

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3
Q

How can we know which functional aspect of protein is being investigated?

A

We can know which functional aspect of protein is being investigated through the establishment of a standardized machine-readable vocabulary, such as the Gene Ontology (GO).

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4
Q

What is the Gene Ontology (GO)?

A

The Gene Ontology (GO) is a standardized machine-readable vocabulary that describes the different aspects of protein function.

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5
Q

What are the three ontology trees in the Gene Ontology (GO)?

A

The three ontology trees in the Gene Ontology (GO) are molecular function, biological process, and cellular location.

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6
Q

Why is the standard vocabulary for GO important?

A

The standard vocabulary for GO allows annotations to be computationally processed and provides a standard approach for programs to output their functional predictions.

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7
Q

What is homology-based transfer?

A

Homology-based transfer is a method used to assign unannotated proteins with the function of their annotated homologs.

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8
Q

What is the rationale for homology-based transfer?

A

The rationale for homology-based transfer is based on the assumption that two sequences with a high degree of similarity most likely evolved from a common ancestor and therefore must have similar functions.

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9
Q

Is homology-based transfer a form of experimental function prediction?

A

No, homology-based transfer is not a form of experimental function prediction, but rather a computational function-prediction method.

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10
Q

Why is homology-based transfer the most widely used form of computational function-prediction method?

A

Homology-based transfer is the most widely used form of computational function-prediction method because it is relatively accurate and has a strong theoretical basis.

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11
Q

What is a homolog?

A

A homolog is a gene or protein that has evolved from a common ancestor with another gene or protein, often sharing similar functions.

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12
Q

What is the importance of homology in the study of protein function?

A

Homology is important in the study of protein function because it allows us to infer the function of unannotated proteins based on the function of their annotated homologs.

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13
Q

What are the two most commonly used programs for comparing an unknown sequence against a sequence database?

A

FASTA and BLAST.

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14
Q

What is a heuristic approach in sequence alignment?

A

A heuristic approach is a computationally efficient strategy that, if it doesn’t find the optimum solution, will at least find a solution very close to the optimum.

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15
Q

What does FASTA stand for?

A

FASTA stands for Fast-All.

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16
Q

What is the difference between FASTA and BLAST in terms of sensitivity?

A

Although it is more sensitive than BLAST for DNA sequences, FASTA sometimes misses weak protein matches.

17
Q

What is the FASTA format?

A

Some servers require the sequence to be entered in FASTA format. This means that the line of the sequence should start with a title line which must start with a >, followed by the sequence, as a single uninterrupted line.

18
Q

what does BLAST stand for

A

Basic Local Alignment Search Tool

19
Q

What do the color codes in a Graphic Display indicate?

A

The quality of the match, with red being good, green being acceptable, and black being bad.

20
Q

What is the Bit score in a Hit List?

A

It measures the statistical significance of the alignment, with a higher Bit score indicating a good match.

20
Q

What is the Bit score in a Hit List?

A

It measures the statistical significance of the alignment, with a higher Bit score indicating a good match.

21
Q

What is the E-Value in a Hit List?

A

It is the expected number of chance alignments and indicates the likelihood that the similarity between the query sequence and database sequence occurred by chance.

22
Q

What is the % identity in Alignments?

A

It is the number of identical residues divided by the number of matched residues, ignoring gaps.

23
Q

What is the difference between similarity and identity?

A

Similarity is a measure of how close two amino acids are to identical, while identity is a measure made on an alignment.

23
Q

What is the difference between similarity and identity?

A

Similarity is a measure of how close two amino acids are to identical, while identity is a measure made on an alignment.

24
Q

What is homology?

A

It implies an evolutionary relationship and is a property that either exists or does not exist between two sequences.

25
Q

What is homology?

A

It implies an evolutionary relationship and is a property that either exists or does not exist between two sequences.

26
Q

How is homology established between DNA and protein sequences?

A

Two DNA sequences with more than 70% identity (over 100 nucleotides) are homologs, and two protein sequences with more than 25% identity (over 100 amino acids) are homologs.

27
Q

What is the twilight zone

A

when 2 proteins (at least 100 residues long) share less than 25% identity