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Related Experiment Videos

Completeness in structural genomics.

D Vitkup1, E Melamud, J Moult

  • 1MIT Center for Genome Research, One Kendall Square, Building 300, Cambridge, Massachusetts 02139, USA.

Nature Structural Biology
|May 25, 2001
PubMed
Summary
This summary is machine-generated.

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Optimizing structural genomics requires strategic target selection. Carefully chosen protein targets reduce the number of structure determinations needed for comprehensive 3D protein models, saving significant effort and time.

Area of Science:

  • Structural biology
  • Genomics
  • Computational biology

Background:

  • Structural genomics aims to create 3D protein models through experimental and computational methods.
  • Efficient strategies are needed to maximize the information gained from structural studies.

Purpose of the Study:

  • To evaluate different strategies for optimizing information return in structural genomics.
  • To estimate the total effort required for achieving high structural coverage of proteins.

Main Methods:

  • Comparative analysis of target selection strategies.
  • Extrapolation of effort based on optimized selection and desired coverage.
  • Modeling of protein structure determination and comparative modeling.

Main Results:

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  • A strategy of carefully selected targets requires seven times fewer structure determinations than random selection for maximal structural coverage.
  • Approximately 16,000 carefully selected structure determinations are estimated to be sufficient for modeling the vast majority of proteins.
  • Uncoordinated target selection could triple the total effort required.

Conclusions:

  • Strategic target selection is crucial for efficient structural genomics.
  • Achieving 90% protein model coverage is feasible within a decade with coordinated efforts and adequate funding.
  • Global coordination of target selection can significantly reduce the overall resources needed for structural genomics.