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ChemRxiv | Paper

GB-GA

Graph-based genetic algorithm

Repository for the paper: Genetic algorithm-based re-optimization of the Schrock catalyst for dinitrogen fixation

  1. GA
  2. Run
  3. Parameters

How to run

For simple use of the GA install with conda

conda env create --file environment.yml

To run the ga activate the relevant environment and run:

python GA_schrock.py

Parameters

A list of possible arguments.

Arg Description
-h or --help Prints help message.
--population_size Sets the size of the population pool.
--mating_pool_size Sets the size of the mating pool.
--n_confs Sets how many conformers to generate for each molecule.
--n_tries Sets how many times the GA is restarted. Can be used to run multiple GA runs in a single submission.
--cpus_per_task How many cores to use for each scoring job.
--RMS_thresh RMS cutoff value for RDKit conformer embedding.
--generations How many evolution cycles of the population is performed.
--mutation_rate Decides the probability of performing a mutation operation instead of crossover.
--prune_population If there are duplicates within the current population these are removed.
--sa_screening Decides if synthetic accessibility score is enabled. Highly recommended to turn this on.
--file_name Path to the database extract to create starting population.
--output_dir Sets output directory for all files generated during generations.
--timeout How many minutes each slurm job is allowed to run
--debug If set the starting population is a set of 4 small molecules that can run fast locally. Used for debugging.
--ga_scoring If set, removes all higher energy conformers in GA.
--supress_amines Supress amine heavy molecules by converting any primary amines to hydrogen in generations.
--method Which gfn method to use.
--energy_cutoff Sets energy cutoff on the conformer filtering.
--bond_opt Decides if a final Mo-N bond optimization is performed during scoring.
--cleanup If enabled, all scoring files are removed after scoring. Only the optimized structures and their energies are saved.
--scoring_func Which scoring function to use.
--opt Set optimization convergence criteria for xTB.
--gbsa Which type of solvent to use for xTB.
--input Name of input control file created for xTB
--average_size Average number of atoms in molecules resulting from crossover.
--size-stdev STD of crossover molecule size distribution

Authors

Magnus Strandgaard1

1 Department of Chemistry, University of Copenhagen, 2100 Copenhagen ร˜, Denmark. Heres my email: [email protected].

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