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Drug-Target Binding Affinity Prediction In A Continuous Latent Space Using Variational Autoencoders

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About CSDTA

Drug-Target Binding Affinity Prediction In A Continuous Latent Space Using Variational Autoencoders.

The benchmark dataset can be found in ./data/. Please see our paper for more details.

Requirements:

Python Version: 3.8.2

Packages and Versions:

  • networkx==2.6.3
  • numba==0.53.0
  • numpy==1.22.3
  • openbabel==3.1.1.1
  • PubChemPy==1.0.4
  • pyramid==2.0
  • scikit-learn==1.0.1
  • scipy==1.8.0
  • seaborn==0.11.2
  • sentencepiece==0.1.96
  • sklearn==0.0
  • tokenizers==0.10.3
  • torch==1.10.0
  • torch-geometric==1.7.0
  • torch-sparse==0.6.12
  • torchaudio==0.10.0
  • torchvision==0.11.1
  • torchviz==0.0.2

Training

To train our model: python main_Gaussian.py

Contact

[email protected]

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Drug-Target Binding Affinity Prediction In A Continuous Latent Space Using Variational Autoencoders

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