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Additional Subnuclear Structures02:10

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The eukaryotic nucleus is a double membrane-bound organelle that contains nearly all of the cell’s genetic material in the form of chromosomes. It is rightly called the “brain” of the cell as it shoulders the responsibility of responding to various physiological processes, stress, altered metabolic conditions, and other cellular signals. 
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1,000 structures and more from the MCSG.

David Lee1, Tjaart A P de Beer, Roman A Laskowski

  • 1Department of Structural and Molecular Biology, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK. dlee@biochem.ucl.ac.uk

BMC Structural Biology
|January 12, 2011
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Summary
This summary is machine-generated.

The Midwest Center for Structural Genomics (MCSG) successfully solved over a thousand protein structures. Functional annotations were assigned to over 90% of these structures using structure-based prediction methods.

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Area of Science:

  • Structural Biology
  • Genomics
  • Bioinformatics

Background:

  • The Midwest Center for Structural Genomics (MCSG) is a key participant in the Protein Structure Initiative (PSI).
  • The MCSG has generated over a thousand protein structures, but a challenge in structural genomics is assigning function to these proteins.
  • Predicting protein function from structure is crucial for understanding biological significance.

Purpose of the Study:

  • To assess the MCSG's performance in achieving the goals of the Protein Structure Initiative.
  • To apply structure-based methods for functional annotation of MCSG-determined protein structures.
  • To evaluate the utility of protein function prediction tools for structures lacking sequence-based functional assignments.

Main Methods:

  • Utilized online resources and established function prediction tools.
  • Employed structure-to-function prediction methods, including ProFunc.
  • Analyzed over a thousand protein structures solved by the MCSG.

Main Results:

  • The MCSG has successfully met the objectives set forth by the PSI.
  • Functional annotations were successfully assigned to over 90% of the MCSG protein structures.
  • The ProFunc tool effectively predicted functions for structures where sequence-based methods were insufficient.

Conclusions:

  • Despite the PSI's emphasis on structural coverage, many MCSG-solved structures possess functional classifications.
  • These functional assignments reveal potential biomedical relevance.
  • Structure-based function prediction enhances the utility of structural genomics efforts.