Deep Learning Neural Network Development for the Classification of Bacteriocin Sequences Produced by Lactic Acid Bacteria

This project contains the following underlying data:

               ·         BacLABNet_script.ipynb (Deep Learning Neural Network for classification of Bacteriocin Sequences) 

               ·         embed_proteins.py (Recurrent Neural Network to obtained the embedding vectors)

               ·         model_I22.h5 (This file contains the trained weights of the trained model)

               ·         model_I22.json (This file contains the structure of the trained model)

               ·         rnn_gru.pt (Initial weights of the Recurrent Neural Network to obtain embedding vectors)

               ·         List_kmers.csv (List of 5-mers and 7-mers obtained from dataset after it filtered sequences shorter than 50 aa and                           longer than 2000 aa)

               ·         all k.mers list.xlsx (Table of all k-mers obtained for k=3,5,7,15,20)

Note: Codes are additionally available on GitHub.