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1. AUKCAT-Neural-Network-Model-for-Kcat-Prediction AUKCAT-Neural-Network-Model-for-Kcat-Prediction Public

   AUKCAT-NN model predicts enzyme turnover numbers (kcat) from substrate–EC number–species features using both experimental and high-confidence pseudo-labeled data.

   Python

2. AUKCAT-CVAE AUKCAT-CVAE Public

   AUKCAT-CVAE is a conditional variational autoencoder designed to generate high-quality synthetic instances to enhance AI model training and generalization.

   Python

3. AUKCAT-Data-Selection-Pipeline AUKCAT-Data-Selection-Pipeline Public

   AUKCAT-Data-Selection-Pipeline iteratively selects high-confidence pseudo-instances from CVAE-generated data to expand the augmented dataset.

   Python

4. EC2Vec EC2Vec Public

   EC2Vec is a machine learning tool that embeds Enzyme Commission (EC) numbers into vector representations.

   Python 5

5. Classification_Using_EC2Vec Classification_Using_EC2Vec Public

   This repository provides three classification models that based on EC2Vec embeddings

   Python

6. SynerGNet SynerGNet Public

   A graph neural network model to predict synergistic anti-caner drug combinations.

   Python 1