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Comparison of DNA Sequences with Dynamic Programming and Scoring Scheme
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Comparison of DNA Sequences with Dynamic Programming and Scoring Scheme

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Questions and Answers

What is the main purpose of using the BLOSUM matrices?

  • To calculate the frequency of mutations in a cluster
  • To align protein sequences with large insertions and deletions
  • To increase the distance between sequences (correct)
  • To identify the ancestral protein sequences
  • How are the BLOSUM matrices numbered in relation to the PAM matrices?

  • Randomly
  • Inversely (correct)
  • Consecutively
  • Based on percentage identity
  • What does the BLOSUM50 matrix represent?

  • Clusters with exactly 50% sequence identity
  • Clusters with over 50% sequence identity (correct)
  • Clusters with less than 50% sequence identity
  • Clusters with up to 50% sequence identity
  • How are probability ratios expressed in the context of substitution matrices?

    <p>As log odds</p> Signup and view all the answers

    Why are substitution matrices considered symmetrical?

    <p>Because the order of sequence alignment does not matter</p> Signup and view all the answers

    In the context of substitution matrices, what does symmetrical mean?

    <p>The order of alignment does not change the score</p> Signup and view all the answers

    How do BLOSUM matrices differ from PAM matrices?

    <p>BLOSUM matrices are based on higher percentage sequence identity</p> Signup and view all the answers

    Why was the BLOSUM62 matrix created?

    <p>To align sequences with at least 62% identity</p> Signup and view all the answers

    What is a characteristic of log odd ratios in substitution matrices?

    <p>They are calculated without ancestral sequence knowledge</p> Signup and view all the answers

    Why are BLOSUM and PAM matrices crucial for sequence alignment?

    <p>They provide a robust scoring scheme for alignment algorithms</p> Signup and view all the answers

    Study Notes

    Sequence Alignment

    • Global alignment of DNA sequences using dynamic programming and a scoring scheme is possible.
    • Scoring scheme:
      • Match: +3
      • Mismatch: -2
      • Gap: -3

    Practice Questions

    • Align DNA sequences using dynamic programming and the provided scoring scheme.
    • Examples:
      • Seq 1: GCTTAGC
      • Seq 2: GCATTGC

    Gap Penalty

    • Gap penalty score: g(g) = -d - (g -1) e
    • Linear gap penalty score: d = gap opening penalty, e = gap extension penalty, g = gap length
    • Affine gap penalty score: g(g) = -d - (g -1) e

    Scoring Insertions or Deletions

    • Using GAP penalty, score insertions or deletions.
    • Example:
      • Total Score: 4
      • Total Score: 8 + (-3.2) = 4.8

    Substitution Matrices

    • Used to score substitution events in alignments.
    • Particularly important in protein sequence alignments.
    • Each scoring matrix represents a particular theory of evolution.
    • Examples of substitution matrices:
      • Identity scoring matrix
      • Genetic code scoring scheme
      • Chemical Similarity Scoring
      • PAM substitution matrices

    Identity Scoring Matrix

    • Simplest scoring scheme.
    • Score 1 for identical pairs.
    • Score 0 for non-identical pairs.
    • Unable to detect similarity.

    Genetic Code Scoring Scheme

    • Introduced by Fitch in 1966.
    • Scores based on the number of nucleotide base changes required to interconvert the codons for the two amino acids.
    • Used in the construction of phylogenetic trees and in the determination of homology between protein sequences.

    Chemical Similarity Scoring

    • Introduced by MacLachlan in 1972.
    • Gives greater weight to the alignment of amino acids with similar physico-chemical properties.
    • Amino acids are classified based on polar or non-polar character, size, shape, and charge.

    PAM Substitution Matrices

    • Constructed by Dayhoff, Schwarz, and Orcutt in 1978.
    • Based on 71 protein families with 85% identical sequences.
    • Obtained frequencies for residue X being substituted by residue Y over time period Z.
    • Ignores evolutionary direction.
    • Based on 1572 residue changes.
    • Defined a substitution matrix as 1 PAM (point accepted mutation) if the expected number of substitutions was 1% of the sequence length.

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    Quiz Team

    Description

    Explore the practice questions on globally aligning DNA sequences using dynamic programming and a specific scoring scheme. Test your knowledge on sequence alignment with provided sequences, GCTTAGC and GCATTGC, along with scoring criteria for matches, mismatches, and gaps.

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