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Folding Atomistic Proteins in Explicit Solvent Using Simulated Tempering.

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Simulated tempering (ST) offers more efficient protein folding simulations than replica exchange molecular dynamics (REMD) at lower computational cost. This method accurately predicts protein structures and explores complex folding pathways.

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Area of Science:

  • Computational biology
  • Molecular dynamics simulations
  • Protein folding and aggregation

Background:

  • Previous studies utilized coarse-grained models in implicit solvents.
  • Accurate simulation of protein behavior requires robust computational methods.

Purpose of the Study:

  • To apply simulated tempering (ST) with on-the-fly Helmholtz free energy determination to protein folding and aggregation.
  • To compare the efficiency and reliability of ST with replica exchange molecular dynamics (REMD).
  • To investigate protein dynamics using various force fields and experimental data.

Main Methods:

  • Simulated Tempering (ST) with on-the-fly Helmholtz free energy calculation.
  • Replica Exchange Molecular Dynamics (REMD) simulations.
  • Utilized CHARMM, OPLS, and AMBER protein force fields with SPC and TIP3P water models.
  • Compared simulation results with experimental data and previous studies for multiple peptides.

Main Results:

  • ST demonstrated higher sampling efficiency than REMD at a significantly lower CPU cost.
  • WW domain and Trp-cage peptides folded to their NMR structures (RMSD of 2.0 and 1 Å, respectively).
  • ST simulations revealed transient non-native topologies for Trp-cage, and identified limitations of the CHARMM22* force field for beta3s peptide.

Conclusions:

  • ST provides an efficient and reliable method for studying protein folding and aggregation at atomic detail.
  • The ST scheme is versatile and compatible with a wide range of force fields, from quantum mechanics to atomistic.
  • This approach enables the study of molecular systems, including protein aggregates, in explicit solvent using standard CPUs.