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High performance workflow implementation for protein surface characterization using grid technology.

Ivan Merelli1, Giulia Morra, Daniele D'Agostino

  • 1Istituto di Tecnologie Biomediche (ITB-CNR), via F.lli Cervi, Segrate, Milan, Italy. ivan.merelli@itb.cnr.it

BMC Bioinformatics
|December 15, 2005
PubMed
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This study developed a high-performance bioinformatics workflow using grid technology to correlate nucleotide and protein surface data. The workflow integrates large datasets and provides a web interface for accessible analysis and comparison.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Grid Computing

Background:

  • Development of a high-performance workflow for correlating diverse bioinformatics data.
  • Utilizes grid technology and the Italian Grid.it infrastructure for distributed resources.

Purpose of the Study:

  • To correlate bioinformatics data from nucleotide sequences to protein surface residues.
  • To optimize computational load and resource management in data processing.

Main Methods:

  • Implementation of a workflow leveraging grid technology for distributed data processing.
  • Decomposition of computationally intensive tasks into smaller, manageable jobs.
  • Information streaming for efficient resource delegation in bioinformatics workflows.

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Main Results:

  • Efficient database management achieved through grid technology, crucial for bioinformatics.
  • Integration of large datasets with results stored in a relational database.
  • Added value to global knowledge through integrated data and analysis.

Conclusions:

  • A web interface was developed for user-friendly access to the grid-based workflow.
  • Users can monitor workflow progress and analyze protein features, such as surface-exposed amino acids.
  • Comparison of processed protein data with existing information in the output database is enabled.