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Universal Architectural Concepts Underlying Protein Folding Patterns.

Arun S Konagurthu1, Ramanan Subramanian1, Lloyd Allison1

  • 1Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University, Clayton, VIC, Australia.

Frontiers in Molecular Biosciences
|May 17, 2021
PubMed
Summary
This summary is machine-generated.

Researchers identified 1,493 protein substructures, termed "concepts," forming the architectural basis of all known protein structures. This dictionary aids in understanding protein function, evolution, and prediction.

Keywords:
architectural conceptsfolding patterninformation theorylossless compressionprotein-building blocksstructural motifs

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Area of Science:

  • Structural Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding the fundamental building blocks of protein architecture is crucial for deciphering protein function and evolution.
  • Existing methods often struggle to comprehensively categorize the diverse range of protein substructures.

Purpose of the Study:

  • To identify and define a comprehensive dictionary of protein substructures, termed 'concepts,' that represent the fundamental architectural units of proteins.
  • To explore the utility of these concepts in understanding protein function, evolution, and prediction.

Main Methods:

  • Employed information-theoretic inference on an unbiased subset of protein structures to identify recurring substructures.
  • Developed a dictionary of 1,493 'concepts,' defined as topologically conserved assemblies of helices and strands.
  • Dissected the Protein Data Bank (PDB) to inventory all concept instances and analyze their correlations.

Main Results:

  • A dictionary of 1,493 protein 'concepts' was established, representing the 'basis set' of protein architecture.
  • Protein structures can be fully decomposed into instances of these concepts.
  • Identified correlations between concepts and protein functions like catalysis and binding, and sequence-structure relationships.

Conclusions:

  • The identified 'concepts' provide a fundamental framework for understanding protein architecture.
  • This conceptual dictionary has significant implications for rational drug design, *ab initio* protein structure prediction, and evolutionary studies.
  • An interactive resource, Proçodic, is available for accessing and navigating the concept dictionary and associated data.