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Protein motifs and data-base searching.

J M Thornton, S P Gardner

    Trends in Biochemical Sciences
    |July 1, 1989
    PubMed
    Summary

    Researchers are building protein structure databases to identify and utilize sequence motifs for modeling and prediction. These databases include structural coordinates and derived data like secondary structure and solvent accessibility.

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    Area of Science:

    • Structural biology
    • Bioinformatics
    • Computational biology

    Background:

    • Protein structure and sequence motifs are increasingly recognized across diverse protein families.
    • Accurate identification and application of these motifs are crucial for protein modeling and prediction tasks.

    Purpose of the Study:

    • To describe the initial efforts in constructing comprehensive protein structure databases.
    • To explain the utility of these databases in protein modeling and prediction.

    Main Methods:

    • Developing consistent databases of protein structural coordinates.
    • Integrating derived structural data, including secondary structure elements and solvent accessibility information.

    Main Results:

    • Establishment of foundational protein structure databases.
    • Demonstration of the application of these databases for motif identification and analysis.

    Conclusions:

    • Consistent protein structure databases are essential for advancing motif-based modeling and prediction.
    • These databases facilitate a deeper understanding of protein structure-function relationships.

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