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Globular and Fibrous Proteins

Many proteins can be classified into two distinct subtypes - globular or fibrous. These two types differ in their shapes and solubilities.
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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

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Macromolecular recognition in the Protein Data Bank.

Joël Janin1, Francis Rodier, Pinak Chakrabarti

  • 1Laboratoire d'Enzymologie et de Biochimie Structurales, UPR9063, CNRS, 91198 Gif-sur-Yvette, France. joel.janin@ibbmc.u-psud.fr

Acta Crystallographica. Section D, Biological Crystallography
|December 14, 2006
PubMed
Summary

Biological macromolecular recognition involves diverse interfaces. Crystal packing differs significantly from specific protein-protein and protein-DNA interactions, with larger, more tightly packed interfaces in functional complexes, especially those involving conformational changes.

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Published on: November 3, 2011

Area of Science:

  • Structural biology
  • Biophysics
  • Computational biology

Background:

  • Biological macromolecular recognition encompasses transient and permanent interactions.
  • Understanding interface properties is key to stability and specificity.
  • Crystal packing provides a contrast to biological assembly interfaces.

Purpose of the Study:

  • To explore geometric and physicochemical properties of macromolecular interfaces.
  • To compare interfaces in biological complexes and homodimers with crystal-packing interactions.
  • To assess the impact of conformational changes on interface size and recognition.

Main Methods:

  • Analysis of crystal structures from the Protein Data Bank.
  • Comparison of interface properties (size, atom burial, packing density).
  • Evaluation of docking algorithm performance in the CAPRI experiment.

Main Results:

  • Crystal-packing interfaces are smaller, bury fewer atoms, and are less tightly packed than specific biological interfaces.
  • Standard interfaces (1200-2000 Ų) are found in complexes with minimal conformational changes.
  • Larger interfaces correlate with conformational changes in signal transduction and homodimer complexes.
  • Docking algorithms accurately predict assembly for proteins without conformational changes but struggle with significant changes.

Conclusions:

  • Interface characteristics vary based on biological function and assembly mechanism.
  • Conformational changes play a significant role in the recognition of certain protein complexes and homodimers.
  • Advancements in docking algorithms are needed to accurately model protein association involving substantial conformational rearrangements.