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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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Conserved Binding Sites01:49

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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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Protein Networks02:26

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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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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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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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Ligand Binding and Linkage00:49

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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Updated: Jul 5, 2025

Peptide-based Identification of Functional Motifs and their Binding Partners
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Efficient Motif Discovery in Protein Sequences Using a Branch and Bound Algorithm.

Rahele Mohammadi, Peyman Neamatollahi, Morteza Moradi

    IEEE Journal of Biomedical and Health Informatics
    |January 19, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel branch and bound algorithm for precise protein motif identification. The new method significantly reduces computation time and improves accuracy in motif discovery from large protein sequence datasets.

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    Area of Science:

    • Proteomics and Bioinformatics
    • Computational Biology
    • Molecular Biology

    Background:

    • Identifying protein motifs is crucial for understanding protein evolution, function, and structure.
    • Existing motif discovery methods are often time-consuming and lack accuracy.
    • Motifs can reveal key functional elements like binding sites and interaction regions.

    Purpose of the Study:

    • To develop an efficient and accurate algorithm for exact motif identification in protein sequences.
    • To address the limitations of current protein motif discovery techniques.
    • To improve the speed and reliability of finding motifs across various lengths.

    Main Methods:

    • A branch and bound algorithm was developed for exact motif identification.
    • A tree structure was constructed to represent potential motif evolution pathways.
    • The algorithm prunes the tree using motif length and similarity thresholds for efficient searching.

    Main Results:

    • The proposed algorithm demonstrated superior performance compared to existing methods.
    • Significant reductions in runtime were observed.
    • Enhanced accuracy in identifying maximal similarity motif subsequences was achieved.
    • The algorithm efficiently processed large protein sequence datasets.

    Conclusions:

    • The branch and bound algorithm offers a more efficient and accurate approach to protein motif discovery.
    • This method can accelerate insights into protein function, evolution, and structure.
    • The algorithm effectively identifies conserved motifs in extensive protein sequence collections.