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Functional differentiation of proteins: implications for structural genomics.

Iddo Friedberg1, Adam Godzik

  • 1Program in Bioinformatics and Systems Biology, Burnham Institute for Medical Research, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA. idoerg@burnham.org <idoerg@burnham.org>

Structure (London, England : 1993)
|April 18, 2007
PubMed
Summary
This summary is machine-generated.

Structural genomics aims for complete protein structure coverage. This study proposes prioritizing functionally diverse protein families within structural folds for better functional characterization, enhancing target selection strategies.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Genomics

Background:

  • Structural genomics initiatives aim for comprehensive protein structure coverage.
  • Experimental determination of all protein structures is infeasible.
  • Current target selection relies heavily on structure-driven approaches.

Purpose of the Study:

  • To propose refining structural genomics target selection by incorporating function-based criteria.
  • To ensure each distinct protein function receives structural characterization.
  • To address the partial functional characterization of functionally rich protein folds.

Main Methods:

  • Development of a method for function-based target selection within structural folds.
  • Survey of functionally rich protein folds to assess current characterization levels.
  • Analysis of functional divergence within structural superfamilies.

Main Results:

  • Functionally rich protein folds are currently only partially characterized.
  • The proposed function-based approach can guide more comprehensive structural coverage.
  • Identified opportunities for improved target selection in structural genomics.

Conclusions:

  • Structural genomics should adopt function-based criteria alongside structure-driven approaches for target selection.
  • Targeting functionally divergent superfamilies within folds ensures broader functional representation.
  • Further development of computational methods for function-based targeting is encouraged.