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Related Experiment Videos

The Structure Superposition Database.

Ranyee A Chiang1, Elaine C Meng, Conrad C Huang

  • 1Department of Biopharmaceutical Sciences, University of California San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA.

Nucleic Acids Research
|January 10, 2003
PubMed
Summary
This summary is machine-generated.

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A new Structure Superposition Database (SSD) simplifies analyzing large sets of protein structures. This tool aids in understanding evolutionary relationships and predicting protein function through efficient structure superposition comparisons.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational biology

Background:

  • Investigating biological systems requires scalable computational tools for large-scale analyses.
  • Comparing three-dimensional protein structures is crucial for understanding evolutionary relationships and predicting function.
  • Existing tools for protein structure superposition are often cumbersome for analyzing multiple structures.

Purpose of the Study:

  • To develop a database and associated tools for efficient analysis of large-scale protein structure superposition data.
  • To facilitate the exploration of evolutionary relationships and functional predictions through multiple structure comparisons.

Main Methods:

  • Creation of the Structure Superposition Database (SSD) to store and access superposition data.

Related Experiment Videos

  • Implementation of an all-by-all pairwise superposition analysis for a representative set of 115 (beta/alpha)8 barrel structures (TIM barrels).
  • Development of a user interface module as an extension to the molecular modeling program Chimera for enhanced visualization.

    • Main Results:

    • The SSD provides a centralized resource for accessing and viewing large sets of structure superposition data.
    • The Chimera extension enables efficient viewing and analysis of multiple protein structure superpositions simultaneously.
    • The initial database contains comprehensive superposition data for TIM barrels, with plans for expansion to other protein folds.

    Conclusions:

    • The Structure Superposition Database (SSD) addresses the need for efficient tools in large-scale structural bioinformatics.
    • The integrated Chimera module facilitates comparative analysis of protein structures, aiding evolutionary and functional studies.
    • The SSD is a valuable resource for researchers in structural biology and computational biology, with potential for broader applications.