Example calculation, CCS of psilocin

This is the example calculation for psilocin CCS calculation. The directory is organized as follows:

  • The directory is named after an identifier. In this case, the Human Metabolome Database ID for psilocin
  • The charge of the adducts (-2, -1, 1)
  • charged_model.smi contains possible (de)protonation isomers, referred to as models
  • The other directories are all calculation results used in the workflow (‘site_screen’, ‘generated_conformers’, etc). They are organized by each model.
  • The final results are inside the ensemble directory, titled results.csv

The results directories are organized as follows:

Identifier

  • Charge of adduct
    • charged_model.smi : smiles of charge models
    • model.smi : smiles of hypothesized charge models ((de) protonation isomer)
    • site_screen : single point energy calculation of ionized metabolites
    • generated_conformers : <= 1000 conformers generated from SMILES
    • optimized_conformers : conformers refined by ANI-2x potential
    • clustered_conformers : conformers clustered by AutoGraph
    • ensemble : calculation pertaining to the modeled conformational ensemble

Each result directories (generated_conformers, optimized_conformers, clustered_conformers, and ensemble) are organized by the charged model considered

Ensemble

  • modelX
    • i.in : QUICK input file for geometry optimization/charge calculation
    • i.out : QUICK output file for geometry optimization/charge calculation
    • i.pqr : geometry optimization/charge calculation results in PQR format
    • i.hpccs : HPCCS calculation result
    • energy.csv : optimized energy values
    • results.csv : conformer-wise CCS values
    • ccs.txt : ensemble averaged CCS value with absolute and relative calculated error

 

HMDB0042000.tar.gz


 


Citation

 Please cite our workflow if its results have been used in a publication:

  • Das, S. Tanemura, K. A.; Dinpazhoh, L.; Keng, M.; Schumm, C.; Leay, L.; Asef, C. K.; Rainey, M.; Edison, A. S.; Fernandez, F. M.;  Merz Jr., K. M. “In silico Collision Cross Section (CCS) Calculations to Aid Metabolomic Annotation”. Manuscript submitted.