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Aca-Acr regulatory circuit modelling

This repository contains the code used for stocastic modeling of the Aca-Acr regulatory circuit described in Birkholz et al. 2024: Phage anti-CRISPR control by an RNA- and DNA-binding helix–turn–helix protein.

The script [python aca_model_hpc.py] is called in parallel on an HPC platform using:

python aca_model_hpc.py --parameter [parameter_to_vary_for_analysis] --outdir [output_directory] --nsamples [number_of_simulations_to_run_per_thread] --threads [threads]

Where [parameter_to_vary_for_analysis] is one of:

| copy_number | replication_rate | transcription_rate | translation_rate | rna_kon | dna_kon | rna_decay | rna_kd | dna_kd |

Default paramter values and those varied for robustness analyses are hard-coded in the runscript.

Citations

Birkholz N, Kamata K, Feußner M, Wilkinson ME, Samaniego CC, Migur A, Kimanius D, Ceelen M, Went SC, Usher B, Blower TR, Brown CM, Beise CL, Weinberg Z, Fagerlund RD, Jackson SA and Fineran PC* (2024) Phage anti-CRISPR control by an RNA- and DNA-binding helix–turn–helix protein. In revision, ISSUE, Pstart–Pend. doi: DOI

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Stochastic modeling of Aca-based regulatory circuits

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