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Related Concept Videos

Protein-protein Interfaces02:04

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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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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.
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Related Experiment Video

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Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
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Template-based protein-protein docking exploiting pairwise interfacial residue restraints.

Li C Xue, João P G L M Rodrigues, Drena Dobbs

    Briefings in Bioinformatics
    |March 26, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Template-based modeling (TBM) accurately predicts protein-protein interactions using conserved residue pairs. Alpha carbon-alpha carbon (CA-CA)-guided docking outperforms other TBM methods, especially for complex conformational changes.

    Keywords:
    AIR-guided dockingCA-CA-guided dockinginterface restrained dockingrefinementtemplate-based modeling

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    Area of Science:

    • Structural Biology
    • Computational Biology
    • Bioinformatics

    Background:

    • Template-based modeling (TBM) is a primary method for protein-protein complex prediction when reliable templates exist.
    • Various strategies exist for leveraging template information in TBM, necessitating systematic evaluation.

    Purpose of the Study:

    • To benchmark a template-based protein-protein modeling method utilizing conserved alpha carbon-alpha carbon (CA-CA) distances as restraints.
    • To compare the CA-CA-guided docking approach against ambiguous interaction restraint (AIR)-guided docking and superposition-based methods.

    Main Methods:

    • Systematic evaluation and benchmarking of template-based protein-protein modeling techniques.
    • Utilized conserved interfacial residue pairs as alpha carbon-alpha carbon (CA-CA) distance restraints for docking.
    • Compared CA-CA-guided docking with AIR-guided docking and superposition with refinement.

    Main Results:

    • CA-CA-guided docking demonstrated superior performance compared to superposition with refinement and AIR-guided docking in most assessed cases.
    • The CA-CA-guided method showed particular strength in modeling complexes with medium to large conformational changes.
    • Effectiveness was highlighted for interactions involving loops, tails, or disordered regions, and the importance of refinement to minimize steric clashes was underscored.

    Conclusions:

    • A benchmarked TBM protocol using conserved pairwise interface distances as restraints provides realistic 3D protein-protein interaction models.
    • The CA-CA-guided docking protocol, integrated with the HADDOCK platform, offers a robust approach for protein complex modeling.
    • The protocol facilitates the incorporation of prior knowledge to enhance model quality for systems with available templates.