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Related Concept Videos

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 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.
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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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Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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A Protocol for Computer-Based Protein Structure and Function Prediction
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Recent progress and future challenges in structure-based protein-protein interaction prediction.

Rongqing Yuan1, Jing Zhang2, Jian Zhou3

  • 1Eugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Molecular Therapy : the Journal of the American Society of Gene Therapy
|April 8, 2025
PubMed
Summary
This summary is machine-generated.

This review highlights advances in computational methods for predicting protein-protein interactions (PPIs), particularly using artificial intelligence. Future research will focus on complex challenges like host-pathogen interactions and intrinsically disordered regions.

Keywords:
AlphaFoldCASPartificial intelligencecoevolutiondrug designprotein-protein dockingprotein-protein interaction

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Area of Science:

  • Computational biology
  • Structural biology
  • Bioinformatics

Background:

  • Protein-protein interactions (PPIs) are vital for cellular functions.
  • Understanding PPIs is key for biological science and medicine.

Purpose of the Study:

  • To review recent progress in computational methods for modeling protein complexes and predicting PPIs.
  • To highlight the role of artificial intelligence (AI) in PPI prediction.
  • To discuss biomedical applications of PPI research.

Main Methods:

  • Focus on computational approaches for protein complex modeling.
  • Emphasis on AI-based methods for PPI prediction using 3D structures.
  • Review of existing literature on PPI prediction and applications.

Main Results:

  • AI-based approaches are transforming PPI prediction.
  • PPI research has expanding applications in disease mechanism elucidation and drug discovery.
  • Significant challenges persist in predicting specific types of interactions.

Conclusions:

  • Computational methods, especially AI, are advancing PPI prediction.
  • PPI research offers significant biomedical potential.
  • Future work should address challenges in host-pathogen, disordered region, and immune response interactions.