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Related Concept Videos

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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Protein Families02:47

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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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Conservation of Protein Domains Over Different Proteins02:26

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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.
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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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An Integrated Approach for Microprotein Identification and Sequence Analysis
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Exploring the protein universe with distant similarity detection methods.

Harutyun Sahakyan1, Pascal Mutz1, Victor Tobiasson1

  • 1Computational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

Protein Science : a Publication of the Protein Society
|December 23, 2025
PubMed
Summary

Advancements in protein sequencing and AI-driven structure prediction enable comprehensive exploration of the protein universe. Analyzing relationships between even distantly related proteins is now feasible, advancing our understanding of protein function and evolution.

Keywords:
distant homology detectionprotein universesequence alignmentstructural searchstructure alignment

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Structural Biology

Background:

  • Exponential growth in protein data due to advanced sequencing and structure determination methods.
  • Potential for comprehensive exploration of the entire protein universe.
  • Understanding relationships among proteins is crucial for function, folding, evolution, and cellular life.

Purpose of the Study:

  • Discuss methods shaping protein bioinformatics.
  • Highlight recent developments in protein structure prediction.
  • Enable comparative analysis of distantly related proteins.

Main Methods:

  • Comparative sequence analysis.
  • Artificial intelligence-based protein structure prediction.
  • Advanced methods for gene sequencing and protein structure determination (e.g., cryoelectron microscopy).

Main Results:

  • Recent structure prediction methods transformed comparative analysis of distantly related proteins.
  • Combination of growing sequence databases and sensitive comparison methods is key.
  • New structure analysis tools facilitate charting the protein universe.

Conclusions:

  • Charting the protein universe at a structural level is a realistic goal.
  • Integration of sequence and structure data analysis is vital.
  • Advances in bioinformatics tools accelerate understanding of protein evolution and function.