yippp / ChemTS

Molecule Design using Monte Carlo Tree Search with Neural Rollout

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ChemTS

A version edited from https://github.com/tsudalab/ChemTS

Requirements

  1. Python>=2.7
  2. Keras (version 2.0.5) If you installed the newest version of keras, some errors will show up. Please change it back to keras 2.0.5 by pip install keras==2.0.5.
  3. rdkit

Train a RNN model for molecule generation

  1. cd train_RNN
  2. Run python train_RNN.py to train the RNN model. GPU is highly recommended for reducing the training time.

MCTS for logP optimization

  1. cd mcts_logp_improved_version
  2. Run python mcts_logp.py

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Molecule Design using Monte Carlo Tree Search with Neural Rollout


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