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T-wave Ion Mobility-mass Spectrometry: Basic Experimental Procedures for Protein Complex Analysis
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Ion Mobility Mass Spectrometry Guided Modeling with AlphaFold and Rosetta Improves Protein Complex Structure

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Summary

This study integrates ion mobility mass spectrometry (IM-MS) with AlphaFold and Rosetta to enhance protein complex structure prediction. The new method improves the accuracy of modeling protein assemblies, overcoming limitations of existing tools.

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Area of Science:

  • Structural biology
  • Computational biology
  • Biophysics

Background:

  • Ion mobility mass spectrometry (IM-MS) offers insights into protein size and shape via collision cross section (CCS), but lacks atomic resolution.
  • AlphaFold excels at monomeric protein structure prediction but faces challenges in modeling protein complexes accurately.

Purpose of the Study:

  • To develop an integrated computational approach combining IM-MS data with AlphaFold and Rosetta for improved protein complex structure prediction.
  • To enhance the accuracy of modeling protein assemblies by leveraging experimental structural constraints.

Main Methods:

  • Integration of experimental collision cross section (CCS) data from IM-MS.
  • Utilized AlphaFold for subunit structure prediction and Rosetta for complex assembly via a docking pipeline.
  • Developed a novel scoring function to evaluate the quality of predicted protein complexes.

Main Results:

  • Improved root mean square deviation (RMSD) values for 68% (26 of 38) of tested protein complexes compared to AlphaFold-Multimer.
  • Achieved significant accuracy improvements, with 16 complexes transitioning from >4 Å RMSD to <4 Å RMSD.
  • Demonstrated a robust strategy for enhancing protein complex modeling.

Conclusions:

  • The integrated IM-MS, AlphaFold, and Rosetta approach effectively refines protein complex structure prediction.
  • This method provides a powerful solution for overcoming limitations in modeling the assembly of protein complexes.
  • The strategy offers a significant advancement in computational structural biology for complex systems.