MobCal-MPI

MobCal-MPI calculates collision cross sections (CCS) of ions and molecules using parallel computation to enable structural elucidation of gas-phase ions and characterization of complex mixtures.


Key Features:

  • Parallel Computing: MobCal-MPI leverages parallelized computing to accelerate CCS calculations, achieving up to 64-fold speed improvements compared to traditional packages.
  • Atom-Specific Parameters: It employs atom-specific parameters derived from the MMFF94 forcefield to tune ion-nitrogen van der Waals potentials for CCS computations.
  • Calibration and Validation: The method was calibrated on 162 molecules with a root mean square error (RMSE) of 2.60% and externally validated on 50 compounds with an RMSE of 2.31%.
  • Extensibility: Based on MMFF94, it can be extended to include additional elements including Li, Na, K, Si, Mg, Ca, Fe, Cu, and Zn.

Scientific Applications:

  • Theoretical–Experimental CCS Comparison: Bridging theoretical modeling of chemical structures with experimental collision cross section determinations.
  • Structural Studies with IMS–MS: Supporting structural elucidation of gas-phase ions using ion mobility spectrometry coupled to mass spectrometry.
  • Complex Mixture Characterization: Facilitating characterization of complex molecular mixtures through rapid and precise CCS predictions.
  • Omics and Pharmaceutical Research: Applied in proteomics, metabolomics, and pharmaceutical research for structural and compositional analyses.

Methodology:

Parallelized computation (MPI) with atom-specific parameters from the MMFF94 forcefield to model ion–nitrogen van der Waals interactions, calibrated on 162 molecules and externally validated on 50 compounds.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
5/25/2019
Last Updated:
6/16/2020

Operations

Publications

Ieritano C, Crouse J, Campbell JL, Hopkins WS. A parallelized molecular collision cross section package with optimized accuracy and efficiency. The Analyst. 2019;144(5):1660-1670. doi:10.1039/c8an02150c. PMID:30649115.

PMID: 30649115
Funding: - Natural Sciences and Engineering Research Council of Canada: Collaborative Research, Development Grant, Discovery Grant - Ontario Centres of Excellence: VIP II Grant

Documentation