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README.md
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#Install
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conda create -n druggpt python=3.7
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conda activate druggpt
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pip install scipy scikit-learn
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conda install -c openbabel openbabel
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#How to use
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#Example usage:
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python drug_generator.py -f bcl2.fasta -n 50
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python drug_generator.py -p MAKQPSDVSSECDREGRQLQPAERPPQLRPGAPTSLQTEPQGNPEGNHGGEGDSCPHGSPQGPLAPPASPGPFATRSPLFIFMRRSSLLSRSSSGYFSFDTDRSPAPMSCDKSTQTPSPPCQAFNHYLSAMASMRQAEPADMRPEIWIAQELRRIGDEFNAYYARRVFLNNYQAAEDHPRMVILRLLRYIVRLVWRMH -n 50
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python drug_generator.py -f bcl2.fasta -l COc1ccc(cc1)C(=O) -n 50
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# Install
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conda create -n druggpt python=3.7
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conda activate druggpt
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pip install scipy scikit-learn
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conda install -c openbabel openbabel
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# How to use
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1.Download the drug_generator.py file and bcl2.fasta.
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2.Activate the druggpt environment using conda activate druggpt.
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3.Navigate to the directory containing the drug_generator.py file using cd path/to/directory.
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4.Run the script with the desired arguments, such as the protein sequence, ligand prompt, number of molecules to generate, and output directory.
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# Example usage:
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## If you want to input a protein FASTA file,
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python drug_generator.py -f bcl2.fasta -n 50
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## If you want to input the amino acid sequence of the protein,
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python drug_generator.py -p MAKQPSDVSSECDREGRQLQPAERPPQLRPGAPTSLQTEPQGNPEGNHGGEGDSCPHGSPQGPLAPPASPGPFATRSPLFIFMRRSSLLSRSSSGYFSFDTDRSPAPMSCDKSTQTPSPPCQAFNHYLSAMASMRQAEPADMRPEIWIAQELRRIGDEFNAYYARRVFLNNYQAAEDHPRMVILRLLRYIVRLVWRMH -n 50
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## If you want to provide a prompt for the ligand
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python drug_generator.py -f bcl2.fasta -l COc1ccc(cc1)C(=O) -n 50
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