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