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Related Concept Videos

Protein Families02:47

Protein Families

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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...
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Protein Networks02:26

Protein Networks

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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,...
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Gene Families01:57

Gene Families

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Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
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Protein Complexes with Interchangeable Parts01:57

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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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...
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Proteomics01:33

Proteomics

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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...
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An Integrated Approach for Microprotein Identification and Sequence Analysis
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Protein family neighborhood analyzer-ProFaNA.

Bartosz Baranowski1,2, Krzysztof Pawłowski1,3,4

  • 1Department of Biochemistry and Microbiology, Warsaw University of Life Sciences, Warszawa, Poland.

Peerj
|July 26, 2023
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Summary

Genomic neighborhood analysis predicts gene function by identifying frequently co-occurring protein domains. This robust statistical approach aids in understanding uncharacterized gene families across various taxa.

Keywords:
Comparative genomicsGene function predictionGenomic neighborhoodsProtein domains

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Functionally related genes often cluster together in prokaryotic genomes.
  • This genomic organization, driven by evolutionary mechanisms, can be exploited for gene function prediction.
  • Understanding gene clustering is crucial for annotating the functions of unknown genes.

Purpose of the Study:

  • To develop a statistical method for predicting gene function based on genomic neighborhood analysis.
  • To leverage large-scale genomic data for identifying functional relationships between protein domains.
  • To provide a tool for exploring co-occurrence patterns of protein domains across different taxonomic levels.

Main Methods:

  • A statistical approach analyzing the co-occurrence of protein domains within genomic neighborhoods.
  • Analysis performed across various taxonomic levels to identify conserved functional relationships.
  • Incorporation of a procedure to correct for uneven genomic sampling within taxa.

Main Results:

  • Demonstrated utility of the method in providing functional predictions for uncharacterized gene families.
  • Showcased how neighborhood analysis can be integrated with other functional prediction approaches.
  • The method is accessible via a web server for broader research application.

Conclusions:

  • Genomic neighborhood analysis is a powerful and robust method for predicting gene function.
  • The developed approach effectively utilizes vast genomic data to uncover functional gene associations.
  • The web server facilitates the application of this method in biological research and discovery.