aqme

Quickstart

  • Installation
  • Users with no Python experience

Video Tutorials

  • Video tutorials

Examples

  • Examples Jupyter Notebook
  • Examples Command line
    • Conformer Generation
    • QM Input Generation
    • Correction of QM Output
    • End to End Examples
      • Strychnine
      • Diels-Alder reactions
      • Solubility descriptors
    • Descriptor Generation

API Reference

  • Main Modules
  • Other Modules

Technical

  • Requirements
  • Basic usage
  • Default and Required Parameters
  • Tests
  • Features and Modules

Misc

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  • Development
  • License
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aqme
  • Examples Command line
  • End to End Examples
  • View page source

End to End Examples

  • Strychnine
    • Step 1: CSEARCH conformational sampling
    • Step 2: Creating Gaussian input files for optimization and frequency with QPREP
    • Step 3: Running Gaussian inputs for optimization and frequency calcs externally
    • Step 4: QCORR analysis including isomerization filter
    • Step 5: Resubmission of unsuccessful calculations (if any) with suggestions from AQME
    • Step 6: Creating Gaussian input files for NMR calcs with QPREP
    • Step 7: Running Gaussian NMR calcs
    • Step 8: Obtaining Boltzmann weighted NMR shifts with QDESCP
    • Step 9: Calculating conformer populations with GoodVibes
  • Diels-Alder reactions
    • Step 1: Determining distance and angle constraints for TSs
    • Step 2: CSEARCH conformational sampling
    • Step 3: Creating Gaussian input files for optimization and frequency with QPREP
    • Step 4: Running Gaussian inputs for optimization and frequency calcs externally
    • Step 5: QCORR analysis
    • Step 6: Resubmission of unsuccessful calculations (if any) with suggestions from AQME
    • Step 7: Creating DLPNO input files for ORCA single-point energy calculations
    • Step 8: Running ORCA inputs for single point energy calcs externally
    • Step 9: Calculating PES with goodvibes
  • Solubility descriptors
    • Step 1: Run CSEARCH (RDKit) on the CSV
    • Step 2 : Run xTB calculations using QDESCP
    • Step 3 : Create the CSV file with descriptors for the GNN model
    • Step 4: Run the gnn.py to get results
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© Copyright 2024, Juan V. Alegre Requena, Shree Sowndarya S. V., Alturaifi T., Pérez-Soto R., Robert S. Paton.

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