This is a small command line tool bundled with selected BacDive-AI models to predict bacterial phenotypes from InterPro (Pfam) annotations. Please see our Preprint for more information. This package comes with an example InterPro annotation of the strain Actinomyces dentalis DSM 19115. The annotated file in TSV format is named as 1120941.3.faa.tsv. The genome is derived from BV-BRC (formerly PATRIC). For reference, the used command to generate the Pfams with InterProScan was: interproscan.sh -i 1120941.3.faa -f tsv -d ./ -appl Pfam To start the prediction of a single trait, you can use the following example code in the project folder: python predict.py gram-positive 1120941.3.faa.tsv For the aforementioned call, you can select one of the following values: Value Trait acidophile Acidophilic gram-positive Gram-positive spore-forming Spore-forming aerobic Aerobic anaerobic Anaerobic thermophile Thermophilic psychrophile Psychrophilic motile2+ Flagellated motility You can also choose `all` to see the complete list of predicted values. You will get the prediction (true or false) for each of the trait together with a confidence score. The output should look like this: $ python predict.py all 1120941.3.faa.tsv Acidophilic: False (98.5%) Gram-positive: True (98.93%) Spore-forming: False (96.47%) Aerobic: False (93.91%) Anaerobic: True (63.54%) Thermophilic: False (99.77%) Psychrophilic: False (99.96%) Flagellated motility: False (99.85%)