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Related Experiment Videos

KISS for STRAP: user extensions for a protein alignment editor.

Christoph Gille1, Stephan Lorenzen, Elke Michalsky

  • 1Institut für Biochemie, Charité, Monbijoustr. 2, Berlin 10117, Germany. christoph.gille@charite.de

Bioinformatics (Oxford, England)
|December 12, 2003
PubMed
Summary

The Structural Alignment Program (STRAP) is a versatile tool for analyzing protein sequences and structures. Its new design, Keeping Interfaces in STRAP Simple (KISS), makes it extensible for scientists and bioinformaticians.

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Area of Science:

  • Bioinformatics
  • Structural Biology
  • Computational Biology

Background:

  • The Structural Alignment Program (STRAP) is a comprehensive tool for protein sequence and structure analysis.
  • Existing multi-purpose packages struggle to keep pace with rapid bioinformatic advancements.
  • A novel design, Keeping Interfaces in STRAP Simple (KISS), was implemented to enhance STRAP's adaptability.

Purpose of the Study:

  • To redesign STRAP with a focus on extensibility and ease of use.
  • To enable scientists and bioinformaticians to integrate custom methods and tools.
  • To provide a platform for rapid prototyping and testing of complex algorithms.

Main Methods:

  • Implementation of a novel design philosophy (KISS) for STRAP.
  • Development of an intuitive graphical user interface.

Related Experiment Videos

  • Integration of features for mapping mutations and polymorphisms onto protein structures.

    • Main Results:

    • STRAP is now highly extensible, allowing users with basic computer skills to implement statistical methods or embed existing bioinformatic tools.
    • Bioinformaticians can use STRAP as an environment for rapid prototyping and testing of algorithms.
    • STRAP can function as an interactive web applet for presenting protein family data and as a teaching tool.

    Conclusions:

    • The redesigned STRAP offers a flexible and comprehensive platform for protein sequence and structure analysis.
    • The KISS design facilitates user-driven customization and integration of new bioinformatic methods.
    • STRAP serves diverse applications, from research and development to education.