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Related Concept Videos

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

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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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¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR01:15

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The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
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Sampling Assessment for Molecular Simulations Using Conformational Entropy Calculations.

Dimas Suárez1, Natalia Díaz1

  • 1Departamento de Química Física y Analítica, Universidad de Oviedo , Julián Clavería 8, 33006 Oviedo, Asturias, Spain.

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Summary

This study introduces conformational entropy (Sconform) as a novel, purely informational measure for assessing molecular simulation sampling. Sconform offers a standardized method to evaluate the reliability of simulations for biomolecules.

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Area of Science:

  • Computational Chemistry
  • Molecular Dynamics
  • Biophysics

Background:

  • Reliability of long-scale molecular simulations for biomolecules depends on conformational sampling.
  • Current methods for quantifying simulation sample size lack standardization.
  • Effective sample size measurement is crucial for accurate biomolecular simulations.

Purpose of the Study:

  • To introduce and evaluate conformational entropy (Sconform) as a standardized, information-theoretic measure for assessing molecular simulation sampling.
  • To demonstrate the utility of Sconform as a probabilistic measure independent of clustering or distance metrics.
  • To explore Sconform's advantages, including its global character and thermodynamic significance.

Main Methods:

  • Conformational entropy (Sconform) calculated from probability mass functions of discretized dihedral angles.
  • Application of Sconform to analyze molecular dynamics simulation trajectories.
  • Testing Sconform on a 17-residue peptide and the bovine pancreatic trypsin inhibitor (BPTI) dataset.

Main Results:

  • Sconform provides a purely informational and probabilistic measure of sampling.
  • The method does not require clustering protocols or distance metrics between configurations.
  • Demonstrated utility of Sconform on extensive molecular dynamics simulations.

Conclusions:

  • Conformational entropy (Sconform) offers a robust and standardized approach to assess molecular simulation sampling.
  • Sconform's information-theoretic basis provides advantages over existing methods.
  • This method enhances the reliability assessment of large-scale biomolecular simulations.