Pairwise Alignment: Homology, Similarity, Identity Lecture Notes

Shared by SteadyAtlas9417 November 2, 2026 PDF
Bioinformatics Biology 17 pages $17
Page 1 shows the heading 'Pairwise Alignment- Homology, Similarity, Identity' and text on the definition of homology, orthologs and paralogs.
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About this document

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17 pages
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$17 one-time, yours to keep
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Subject
Bioinformatics, Biology

This document explains the concepts of homology, similarity, and identity in the context of pairwise alignment of protein sequences. It discusses how to assess the relatedness of proteins and the use of scoring matrices like PAM and BLOSUM. It is useful for understanding evolutionary biology and bioinformatics techniques.

What's inside

  • Definition of homology, orthologs, and paralogs
  • Assessing relatedness of proteins
  • Pairwise alignment and the NCBI BLAST tool
  • Conservative substitutions and percent similarity
  • Scoring matrices: PAM and BLOSUM

Who it is for: Students studying bioinformatics, biology or related fields. (Undergraduate)

#evolutionary biology #homology #identities #pairwise alignment #protein sequences #similarity

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Summary

Pairwise alignment is a method to compare two sequences, such as proteins. It helps to understand their evolutionary relationships and similarities. Students learn how to assess the degree of similarity and the possibility of homology between two molecules.

Homology, Similarity, Identity

Homologous sequences share a common evolutionary ancestry. Similarity and identity in sequences are assessed through pairwise alignment. Similar amino acids share similar biochemical properties.

Pairwise Alignment and Mutations

Pairwise alignment helps identify mutations that have caused divergence of sequences. Common mutations include substitutions, insertions, and deletions. These are referred to as gaps in the alignment.

Scoring Matrix

A scoring matrix is a quantitative system for pairwise alignments. The PAM matrix is based on accepted point mutations. The BLOSUM matrix is based on conserved positions in blocks of related sequences.

BLAST and Database Search

BLAST extends word pairs to find significant hits in a database. Database searches help find the function of a gene and related genes in other organisms. The E-value indicates the expected number of sequences that give the same score by chance.

Key terms

Homologous sequences
Sequences that share a common evolutionary ancestry.
Orthologs
Homologous sequences in different species that arose from a common ancestral gene.
Paralogs
Homologous sequences that arose by a mechanism such as gene duplication.
Conservative substitutions
Aligned residues that are similar but not identical because they share similar biochemical properties.
PAM matrix
A scoring matrix based on accepted point mutations in related protein sequences.
BLOSUM matrix
A scoring matrix based on conserved positions in blocks of related sequences.

Questions this document helps with

  • What is the difference between orthologs and paralogs?
  • How does pairwise alignment help in identifying mutations?
  • What does the E-value in a database search signify?

Summary written with AI from the document's text.

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