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Computing translational diffusion and sedimentation coefficients: an evaluation of experimental data and programs.

Mattia Rocco1, Olwyn Byron

  • 1Biopolimeri e Proteomica, IRCCS AOU San Martino-IST, Istituto Nazionale per la Ricerca sul Cancro, Largo R. Benzi 10, 16132, Genova, Italy, mattia.rocco@hsanmartino.it.

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This summary is machine-generated.

This study compares software for calculating macromolecule hydrodynamic properties. A combination of SoMo and Zeno software showed the best accuracy for diffusion and sedimentation coefficients, with 0% average error.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Biochemistry

Background:

  • Hydrodynamic characterization of biomacromolecules is crucial for understanding their behavior.
  • Translational diffusion (Dt(0)(20,w)) and sedimentation (s(0)(20,w)) coefficients are key parameters derived from high-resolution structures.
  • Several computational methods exist for predicting these hydrodynamic properties.

Purpose of the Study:

  • To comprehensively evaluate the performance of public-domain software for calculating hydrodynamic coefficients.
  • To compare computed Dt(0)(20,w) and s(0)(20,w) values against experimental data for various biomacromolecules.
  • To identify the most accurate and reliable computational methods for hydrodynamic characterization.

Main Methods:

  • Evaluated public-domain software: AtoB, SoMo, BEST, Zeno (US-SOMO suite), and HYDROPRO.
  • Calculated translational diffusion and sedimentation coefficients from high-resolution structures.
  • Compared computed values against critically appraised experimental literature data for a range of molecular masses.

Main Results:

  • All tested programs reproduced Dt(0)(20,w) within ±5% on average.
  • SoMo and AtoB slightly overestimated Dt(0)(20,w), while BEST and HYDROPRO underestimated it.
  • A combination of SoMo (overlapping bead models) and Zeno computation yielded the most accurate results with 0% average error.

Conclusions:

  • The choice of software and its specific implementation significantly impacts the accuracy of hydrodynamic coefficient predictions.
  • The SoMo-Zeno combination shows promise as a preferred method for accurate hydrodynamic characterization.
  • Further development is needed to overcome computational speed limitations of the most accurate methods.