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Related Experiment Videos

Local function conservation in sequence and structure space.

Nils Weinhold1, Oliver Sander, Francisco S Domingues

  • 1Max Planck Institute for Informatics, Saarbrücken, Germany.

Plos Computational Biology
|July 8, 2008
PubMed
Summary
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This study reveals how protein sequence and structure influence molecular function. A new method predicts protein function using structure, outperforming existing tools and aiding in annotating uncharacterized proteins.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Protein function is intrinsically linked to its sequence and three-dimensional structure.
  • Understanding the variability of molecular function across protein sequence-structure space is crucial for biological research.
  • Existing methods for predicting protein function have limitations.

Purpose of the Study:

  • To analyze and quantify the local conservation of molecular function within protein sequence and structure.
  • To develop and validate a novel method for predicting the molecular function of proteins with known structures but unknown functions.
  • To apply the developed method to a large set of unannotated protein structures.

Main Methods:

  • Analysis of local function conservation using logistic curves across protein sequence and structure space.

Related Experiment Videos

  • Development of a predictive model leveraging structural information for molecular function prediction.
  • Rigorous assessment and comparison of the proposed prediction method against a state-of-the-art function predictor.
  • Application of the method to 500 functionally unannotated Protein Data Bank (PDB) structures.

    • Main Results:

    • Identified significant differences in local molecular function conservation across protein sequence-structure space.
    • The proposed prediction method demonstrates robust performance in predicting molecular function.
    • The new method was successfully applied to annotate 500 previously uncharacterized PDB structures.
    • The GOdot method provides a statistically consistent model for protein sequence-structure-function relationships.

    Conclusions:

    • The study presents a novel and effective method (GOdot) for predicting protein molecular function based on protein structure.
    • The findings highlight the complex interplay between protein sequence, structure, and function, offering a new perspective on functional conservation.
    • The GOdot tool is publicly available, facilitating further research in protein function annotation and discovery.