Módulo 1 Flashcards

António

1
Q

O que são genes parálogos?

A

Genes present in a particular organism that are related to each other through a gene duplication event (come from the same gene but have different functions)

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2
Q

What is MSA?

A

Multiple Sequence Alignment. Método computacional que dá highlight a sequência mais longa possível que seja semelhante entre múltiplas proteínas.

O alinhamento múltiplo é a principal ferramenta de pesquisa de semelhanças entre elementos da mesma família.

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3
Q

O que são padrões conservados (Conserved patterns)?

A

Sequências que surgem do alinhamento e podem ser utilizadas para definir assinaturas que caracterizam uma família ou domínio.

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4
Q

What does the following string represent?

ATOM 400 N ALA A 53 36.594 24.706 31.023 1.00 15.56 N

A

Protein Data Bank PDB format (text)

400 Atom number
N The actual atom
ALA A Amino Acid chain
53 Amino acid number
36.594 X coordinate
24.706 Y coordinate
31.023 Z coordinate

1.00 15.56 N Factor Beta (Error in the position of the atoms)

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5
Q

O que é Alternative Splicing?

A

O splicing alternativo é um processo celular no qual os exões do mesmo gene são unidos em diferentes combinações, levando a transcrições de mRNA diferentes, mas relacionados. Estes mRNA podem ser traduzidos para produzir diferentes proteínas com estruturas e funções distintas – tudo a partir de um único gene

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6
Q

What can Alternative Splicing be used for?

A

It’s a way to use the same gene to encode proteins that are more or less related.

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7
Q

NEXT

A

NEXT

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8
Q

Why are there more proteins in the cell than there are genes for said proteins? (Example, why does a cell have 100 proteins but only 10 genes?)

A

Through Alternative Splicing, a gene can encode for different proteins by removing different parts of itself, producing different proteins.

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9
Q

What is a domain?

A

They are areas of the protein that are more or less different or independent from each other. Sufficiently stable to fold independently.

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10
Q

What is the difference between a domain and a subunit?

A

A domain is a discrete function and/or structural section of a polypeptide. This differs from a subunit, which is a single polypeptide in a protein which is in turn composed of multiple polypeptides. It is important to note that subunits can have domains

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11
Q

How is it possible for a protein to have 2 subunits but one domain?

A

For example, if both subunits have the same function, it can be considered that the protein has only one domain.

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12
Q

Why does automatic genome annotation work?

A

Because similar sequences imply similar functions.

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13
Q

What is the basis for our understanding how structural domains evolve in proteins?

A

Similar sequences imply similar structures.

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14
Q

What happens when we have a lower sequence similarity?

A

Higher structure dissimilarity

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15
Q

Why is the function of an enzyme easy to estabilish?

A

Because they catalize the same reaction

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16
Q

What does %ID measure? What about RMSD?

A

%ID: Sequence Similarity
RMSD: Structure Similarity

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17
Q

What happens to the RMSD when proteins are similar?

A

Tends to be lower

18
Q

What are some measurements of RMSD?

A

Posições mais semelhantes de aa
Distância entre alfa-C nas cadeias peptídicas, média do quadrado da distância

19
Q

What is the seed alignment?

A

The alignment we use first. A hand-curated alignment of known members of the family

20
Q

What is the structural unit of the protein?

A

The domain.

21
Q

The number of possible domain folds known so far is theoretically finite but in reality it’s practically infinite. True or false?

A

False. Very large but seems to be finite

22
Q

O que são domain folds?

A

O número de formas diferentes de empacotar os elementos da estrutura secundária nos domínios.

23
Q

Sequence based predictions predict structural features based on the secondary structure, the aminoacid sequence. True or false?

A

False. It’s the primary structure, (aa sequence)

24
Q

Give an example of a false positive in a deterministic pattern

A

The sequence verifies the pattern although it has the rarest possibilities in all of the amino acids

25
Q

Give an example of a false negative in a deterministic pattern

A

The sequence verifies everything in the pattern except one completely unexpected amino acid.

26
Q

What are some downsides of DP?

A

Extremely high rigidity, which means it doesn’t accept any deviations to the pattern.

27
Q

What is a Confusion Matrix?

A

A Table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives

28
Q

Num classificador binário, a sensibilidade é dada pela taxa de verdadeiros positivos e a especificidade é dada pela taxa de falsos negativos. Verdadeiro ou falso.

A

FALSO. A especificidade é dada pela taxa de verdadeiros negativos.

29
Q

A consensus sequence is likely a true positive. True or false?

A

True.

30
Q

Name one big advantage of PSSM.

A

It has a lot less false negatives because it can put any amino acid in any position

31
Q

What’s PSSM and what’s its deal?

A

Position specific scoring matrix attributes a value to each amino acid, and depending on the score they receive, they conclude if the sequence belongs or not to a certain family or domain.

32
Q

PSSM attributes a score of 0 to any gap/transition in the sequence. True or false?

A

False. It does not attribute scores to gaps/transitions.

33
Q

PSSM doesn’t attribute a score to any gaps in the sequence, but it does attribute weight. True or false?

A

True

34
Q

In a weight matrix, the higher the score between two aminoacids, the higher the chances of them being interchangable. True or false?

A

True

35
Q

What is homology modelling?

A

The use of information from homologous proteins from databases and other sequences to model a protein.

36
Q

What are the three mains steps of homology modelling?

A

Alignment and superposition with the reference structure, improvement and preliminary structure, and optimization of energy.

37
Q

Swiss model is unreliable only in the position of loops and the side groups of amino acids, and is only reliable for the position of the backbone (alfaCarbon)

A

True

38
Q

What is the Rosetta Method?

A

Splitting a sequence into several shorter sequences, and trying to fill the gaps with “randomly generated” sequences, until something fits.

39
Q

Alphaphold is so good it’s similar to structures provided by…

A

X-Ray crystallography

40
Q

Num classificador binário, a sensibilidade é dada pela taxa de verdadeiros positivos e a especificidade é dada pela taxa de verdadeiros negativos. Verdadeiro ou falso

A

Verdade

41
Q

Num classificador binário, a especificidade é dada pela taxa de verdadeiros positivos e a sensibilidade é dada pela taxa de verdadeiros negativos. Verdadeiro ou falso

A

Falso.
Sensibilidade é dada pela taxa de verdadeiros positivos
Especificidade é dada pela taxa de verdadeiros negativos

42
Q

O que significa pontuação (local) de QMEAN4

A

O QMEAN4 é uma função de scoring usada assessar a qualidade da previsão de modelos de estrutura proteica, que compões outras 4 métricas, como a interação entre os Cb, a interação entre todos os átomos, exposição ao solvente e a torsão entre 3 aa consecutivos. Uma pontuação local iria significar a qualidade de previsão de um aa ou local em específico, tendo em conta as métricas.