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Substrate recognition by proteinases.

S J Hubbard1, J M Thornton, S F Campbell

  • 1Department of Biochemistry and Molecular Biology, University College, London, UK.

Faraday Discussions
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

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Serine proteinase inhibitors and substrates bind differently to proteinases. Modeling suggests limited proteolytic sites need mobility to adopt an inhibitor-like conformation for proteolysis.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Serine proteinases are crucial enzymes involved in various biological processes.
  • Serine proteinase inhibitors possess conserved recognition motifs for binding.
  • Limited proteolytic sites on substrates have distinct conformations compared to inhibitors.

Purpose of the Study:

  • To compare and contrast the molecular recognition of serine proteinase substrates and inhibitors.
  • To investigate the conformational flexibility of limited proteolytic sites.
  • To develop a predictive algorithm for identifying proteolytic sites.

Main Methods:

  • Utilized coordinate sets from the Brookhaven Protein Databank for structural comparisons.
  • Performed modeling experiments to assess the conformational adaptability of proteolytic sites.

Related Experiment Videos

  • Analyzed conformational parameters including accessibility, protrusion, mobility, and secondary structure.

    • Main Results:

    • In situ substrate conformations at limited proteolytic sites differ significantly from inhibitor-binding loops.
    • Segmental mobility is proposed as a requirement for substrates to adopt an 'inhibitor-like' binding conformation.
    • A predictive algorithm incorporating conformational parameters was developed.

    Conclusions:

    • Limited proteolytic sites likely require conformational changes to facilitate substrate binding and proteolysis.
    • The developed algorithm can aid in predicting potential limited proteolytic sites within protein structures.
    • Understanding these recognition mechanisms is key to enzyme function and inhibition studies.