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Related Experiment Videos

Effective electron-density map improvement and structure validation on a Linux multi-CPU web cluster: The TB

Vinod Reddy1, Stanley M Swanson, Brent Segelke

  • 1Biochemistry and Biophysics Department, Texas A&M University, 2128 TAMU, College Station, TX 77843-2128, USA.

Acta Crystallographica. Section D, Biological Crystallography
|December 4, 2003
PubMed
Summary

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A new web service automates molecular replacement and map improvement for crystallography, enhancing drug discovery. This tool aids in completing models and validating ligands in complex structures.

Area of Science:

  • Structural biology
  • Computational crystallography
  • Drug discovery

Background:

  • High-throughput crystallography is increasingly used for structure determination.
  • Automated methods are needed to streamline molecular replacement and map improvement.

Purpose of the Study:

  • To develop a user-friendly web service for automated molecular replacement and map improvement.
  • To provide tools for bias removal and structure validation in crystallographic studies.

Main Methods:

  • The service utilizes the Shake&wARP protocol for bias removal.
  • It integrates EPMR, CCP4 suite, shell scripts, and Fortran90 routines.
  • Web interface for data upload and a Linux cluster with Condor for computation.

Main Results:

Related Experiment Videos

  • Improved electron density maps with model completion and correction.
  • Enhanced validation through real-space correlation and B-factor plots.
  • Successful application in drug-target structure analysis and ligand validation.

Conclusions:

  • The implemented web service offers an efficient solution for automated molecular replacement and map enhancement.
  • It supports various aspects of structure analysis, including model building and ligand validation.
  • The service is valuable for high-throughput crystallography and drug discovery programs.