A grid-enabled web service for low-resolution crystal structure refinement.

Acta Crystallogr D Biol Crystallogr

Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.

Published: March 2012

AI Article Synopsis

  • Deformable elastic network (DEN) restraints help improve the accuracy of structure refinement from low-resolution X-ray data but require significant computational power.
  • The new DEN web service allows structural biologists to leverage the Open Science Grid for faster and more efficient DEN refinements through an easy-to-use interface in the SBGrid Science Portal.
  • An example showcasing the use of DEN restraints on the human Notch1 transcriptional complex demonstrates the effectiveness of this web service, highlighting its ability to reduce processing time from thousands of hours to just a few.

Article Abstract

Deformable elastic network (DEN) restraints have proved to be a powerful tool for refining structures from low-resolution X-ray crystallographic data sets. Unfortunately, optimal refinement using DEN restraints requires extensive calculations and is often hindered by a lack of access to sufficient computational resources. The DEN web service presented here intends to provide structural biologists with access to resources for running computationally intensive DEN refinements in parallel on the Open Science Grid, the US cyberinfrastructure. Access to the grid is provided through a simple and intuitive web interface integrated into the SBGrid Science Portal. Using this portal, refinements combined with full parameter optimization that would take many thousands of hours on standard computational resources can now be completed in several hours. An example of the successful application of DEN restraints to the human Notch1 transcriptional complex using the grid resource, and summaries of all submitted refinements, are presented as justification.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3282622PMC
http://dx.doi.org/10.1107/S0907444912001163DOI Listing

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