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An updated structural classification of substrate-binding proteins.

Giel H Scheepers1, Jelger A Lycklama A Nijeholt1, Bert Poolman1

  • 1Department of Biochemistry, Groningen Biomolecular Sciences and Biotechnology Institute, Zernike Institute for Advanced Materials, University of Groningen, The Netherlands.

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|October 8, 2016
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Summary
This summary is machine-generated.

Substrate-binding proteins (SBPs) were reclassified into existing and a new seventh cluster. This updated classification reflects the significant increase in known SBP structures, aiding in understanding their roles.

Keywords:
ABC transportermembrane proteinsignal transductionsolute transportstructural classificationsubstrate-binding protein

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Area of Science:

  • Structural biology
  • Protein science
  • Biochemistry

Background:

  • Substrate-binding proteins (SBPs) are crucial for cellular processes like solute transport and signal transduction.
  • A previous classification in 2010 defined six structural clusters for 114 unique SBPs.
  • The Protein Data Bank (PDB) has seen a near doubling of entries, with unique SBP structures increasing fivefold since 2010.

Purpose of the Study:

  • To re-evaluate and subclassify existing substrate-binding protein (SBP) clusters.
  • To incorporate the significantly expanded dataset of SBP structures.
  • To identify and define novel structural classifications for SBPs.

Main Methods:

  • Utilized an expanded dataset of unique substrate-binding protein (SBP) structures from the Protein Data Bank (PDB).
  • Performed structural similarity analyses to subclassify SBPs within previously defined clusters.
  • Identified and characterized a distinct group of SBPs exhibiting unique structural features.

Main Results:

  • Subclassification of SBPs within the original six structural clusters was performed.
  • A seventh distinct cluster of SBPs was identified based on unique structural characteristics.
  • The updated classification accounts for the substantial growth in available SBP structural data.

Conclusions:

  • The expanded dataset necessitates a refined classification of substrate-binding proteins (SBPs).
  • The proposed seventh cluster highlights structural diversity previously uncharacterized.
  • This updated structural framework enhances the understanding of SBP function and evolution.