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README.md
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@@ -78,7 +78,7 @@ The input is a TSV file with two columns: `chem_name` and `smiles`. The column '
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### Output
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The output is a TSV file with two columns: `pred_id` and `antimicrobial_predictive_probability`. The column `pred_id` contains a given molecule and a bacteria, e.g. Halicin:Akkermansia muciniphila (NT5021), and the column
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molecule prioritization, reflecting the chance of the given molecule having growth inhibition effect on the corresponding bacteria, e.g. 0.021192694. An example output is `examples/output/example_molecules_prediction.tsv`.
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## Copyright
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### Output
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The output is a TSV file with two columns: `pred_id` and `antimicrobial_predictive_probability`. The column `pred_id` contains a given molecule and a bacteria, e.g. Halicin:Akkermansia muciniphila (NT5021), and the column `antimicrobial_predictive_probability` contains antimicrobial potential (AP) scores for
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molecule prioritization, reflecting the chance of the given molecule having growth inhibition effect on the corresponding bacteria, e.g. 0.021192694. An example output is `examples/output/example_molecules_prediction.tsv`.
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## Copyright
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