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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...

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Related Experiment Video

Updated: Jul 5, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Computational methods for protein sequence analysis.

G Michaels1, R Garian

  • 1George Mason University, Fairfax, Virginia, USA.

Current Protocols in Protein Science
|April 23, 2008
PubMed
Summary
This summary is machine-generated.

This guide explains protein sequence analysis, covering similarity searching with BLAST and FASTA databases, alignment methods, and functional site identification for biological research.

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An Integrated Approach for Microprotein Identification and Sequence Analysis
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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • Understanding protein sequences is crucial after experimental determination.
  • Bioinformatics tools are essential for analyzing vast amounts of sequence data.

Purpose of the Study:

  • To provide a comprehensive guide for post-acquisition protein sequence analysis.
  • To introduce theoretical concepts and practical methods for sequence interpretation.

Main Methods:

  • Theoretical background on protein sequence analysis.
  • Matrix methods for sequence comparison, including Dot Plots.
  • Sequence similarity searching using BLAST and FASTA databases.
  • Exploration of alignment methods, scoring matrices, and multiple alignments.
  • Discussion of clustering methods, tree construction, and functional site identification.

Main Results:

  • The unit covers a wide range of protein sequence analysis techniques.
  • It bridges theoretical knowledge with practical database searching and alignment strategies.

Conclusions:

  • Effective protein sequence analysis requires a combination of theoretical understanding and computational tools.
  • This guide equips researchers with the necessary knowledge to interpret protein sequences and identify functional elements.