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usage: pred_ppi.py [-h] -i FASTA_FILE [-w W2V_MODEL] [-c CLF_MODEL] [-o OUT_FILE] [-n N_GRAM] [-s SWINDOW] [-t THRESHOLD] Predict protein-protein interaction sites in protein sequence. EXAMPLE: python3 pred_ppi.py -i test.fasta optional arguments: -h, --help show this help message and exit -i FASTA_FILE, --in FASTA_FILE FASTA file with one or multiple protein sequences. -w W2V_MODEL, --w2v-model W2V_MODEL Pre-trained word2vec model. -c CLF_MODEL, --classifier CLF_MODEL The classifier model. -o OUT_FILE, --out OUT_FILE Save predict results to this file. -n N_GRAM, --n-gram N_GRAM ngram_size when training the word2vec model. -s SWINDOW, --sliding-window SWINDOW The sliding window size when representing each amino acid using the sliding window. -t THRESHOLD, --threshold THRESHOLD Decision threshold to predict a sample as positive or negative. Default = 0.37
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