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Improving Martini 3 for Disordered and Multidomain Proteins.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Biophysics

Background:

  • Coarse-grained molecular dynamics (CGMD) simulations are vital for studying protein conformational ensembles.
  • The Martini 3 force field is widely used but may have limitations in representing protein dimensions.

Purpose of the Study:

  • To evaluate the accuracy of the Martini 3 force field for intrinsically disordered proteins (IDPs) and multidomain proteins.
  • To investigate the impact of protein-water interactions on conformational ensembles.
  • To improve the predictive power of CGMD simulations for soluble proteins.

Main Methods:

  • Performed coarse-grained molecular dynamics simulations.
  • Compared simulation results with experimental data, including small-angle X-ray scattering (SAXS) and paramagnetic relaxation enhancement (PRE).
  • Systematically increased the strength of protein-water interactions in the Martini 3 force field.

Main Results:

  • Martini 3 underestimates the global dimensions of IDPs and multidomain proteins compared to SAXS data.
  • A modest increase (approx. 10%) in protein-water interaction strength significantly improves agreement with SAXS data.
  • The revised force field shows better agreement with experimental data for protein self-association and PRE measurements.

Conclusions:

  • Adjusting protein-water interactions in Martini 3 offers a substantial improvement for simulating soluble proteins.
  • This refinement enhances the accuracy of conformational ensemble predictions for IDPs and multidomain proteins.
  • The modified force field provides a more reliable tool for biophysical studies using CGMD simulations.