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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Quantifying side-chain conformational variations in protein structure.

Zhichao Miao1,2,3, Yang Cao4

  • 1Architecture et Réactivité de l'ARN, Université de Strasbourg, Institut de biologie moléculaire et cellulaire du CNRS, 67000 Strasbourg, France.

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Protein side-chain flexibility, influenced by solvent exposure and hydrophilicity, varies significantly. This variability means predicting protein side-chain conformation is complex, requiring new assessment methods.

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Biophysics

Background:

  • Protein side-chain conformation is crucial for biological function.
  • Accurate side-chain prediction is vital for protein design and structure optimization.
  • Existing prediction methods often overlook side-chain polymorphism.

Purpose of the Study:

  • To quantitatively study side-chain conformational variations in proteins.
  • To investigate the relationship between side-chain variability and residue features.
  • To re-evaluate current approaches for assessing side-chain prediction programs.

Main Methods:

  • Statistical analysis of large-scale protein data sets from the Protein Data Bank (PDB).
  • Quantification of different types of side-chain variabilities.
  • Correlation analysis between conformational flexibility and residue properties (solvent exposure, degree of freedom, hydrophilicity).

Main Results:

  • Side-chain conformational flexibility is significantly correlated with solvent exposure, degree of freedom, and hydrophilicity.
  • Identified and quantified various types of side-chain variabilities within protein structures.
  • Demonstrated that side-chain conformation is not a single fixed state.

Conclusions:

  • Protein side-chain prediction is inherently a multi-state problem, not a single-answer prediction.
  • The findings necessitate a reconsideration of how side-chain prediction programs are assessed.
  • Understanding side-chain polymorphism is key to advancing protein structure prediction and design.