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Updated: Jun 19, 2026
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
Published on: July 14, 2015
Structural relationships among proteins with different global topologies and their implications for function
Donald Petrey1, Markus Fischer, Barry Honig
1Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Center for Computational Biology and Bioinformatics, Columbia University, 1130 St. Nicholas Avenue, Room 815, New York, NY 10032, USA.
Summary
Geometric similarities in protein fragments can indicate shared functions, even across different protein folds. This finding suggests computational tools can better reveal protein structure-function relationships than traditional classifications.
Area of Science:
- Structural bioinformatics
- Computational biology
- Protein science
Background:
- Proteins with distinct global topologies can exhibit conserved geometric relationships between specific regions.
- Understanding these geometric links is crucial for inferring functional connections.
- Current classification systems may limit the discovery of such relationships.
Purpose of the Study:
- To investigate if geometric similarities between protein fragments can predict functional connections.
- To explore the limitations of protein fold classifications in functional inference.
- To introduce a computational approach for enhanced protein structure-function analysis.
Main Methods:
- Comparative analysis of protein structures focusing on geometric relationships.
- Examination of examples involving metal, cation, sugar, and aromatic group binding sites.
- Development and introduction of the MarkUs computational server.
Main Results:
- Geometrically similar protein fragments often share related functions, irrespective of their global fold or topological classification.
- Protein classifications can restrict the identification of functional relationships.
- A continuous approach to protein structure-function space reveals more potential relationships.
Conclusions:
- Geometric analysis of protein structures offers a powerful method for inferring function beyond traditional classification schemes.
- Interactive computational tools like MarkUs can significantly enhance the extraction of functional information from protein databases.
- Recognizing the continuous nature of protein structure-function relationships is key to advancing biological discovery.
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01:24Protein Organization
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
The primary structure of a protein is its amino acid sequence.
01:13Protein Organization
Overview
01:13Protein Organization
Overview
01:24Protein Organization
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
The primary structure of a protein is its amino acid sequence.