Function-based assessment of structural similarity measurements using metal co-factor orientation
Stefan Senn1, Vikas Nanda, Paul Falkowski
1Environmental Biophysics and Molecular Ecology Program, Institute of Marine and Coastal Sciences, Rutgers University, New Brunswick, New Jersey, 08901.
Proteins
|October 16, 2013
Summary
Metal co-factor location provides a novel way to assess protein structural alignment significance. This method improves the biological relevance of structural comparisons, aiding in the discovery of functional relationships.
Area of Science:
- Structural biology
- Bioinformatics
- Biochemistry
Background:
- Protein structure comparison is crucial for understanding biological relationships.
- Existing methods struggle with defining significance thresholds due to common structural elements.
- Identifying functional links between distantly related proteins remains a challenge.
Purpose of the Study:
- To introduce a novel method for assessing the biological relevance of protein structural alignments.
- To utilize metal co-factor location as a constraint for evaluating structural similarity.
- To establish reliable cut-off values for discriminating valid from spurious protein alignments.
Main Methods:
- Assessing structural alignments by analyzing the distance between the centroids of bound metal co-factors.
- Applying metal co-factor location as an additional chemical and functional constraint during protein superimposition.
- Comparing three related nitrogenase proteins to analyze sequence and fold constraints.
Main Results:
- Metal co-factor location effectively enhances the biological relevance of structural alignments.
- The distance of co-factors provides a constraint to define significance thresholds for structural similarity metrics.
- Constraints imposed by metal coordination sites were observed up to 18 Å from metal clusters in nitrogenases.
Conclusions:
- Metal co-factor location offers a robust approach to validate protein structural alignments.
- This method aids in identifying functional relationships between proteins, even distantly related ones.
- The findings highlight the role of metal coordination sites in constraining protein structural evolution.
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