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https://github.com/Abdulk084/Smiles2vec
Proof of the concept implementation of smiles2vec paper
https://github.com/Abdulk084/Smiles2vec
deep-learning nueral-networks pharmaceuticals word2vec
Last synced: 3 months ago
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Proof of the concept implementation of smiles2vec paper
- Host: GitHub
- URL: https://github.com/Abdulk084/Smiles2vec
- Owner: Abdulk084
- License: mit
- Created: 2018-11-22T01:41:41.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-17T14:28:36.000Z (over 5 years ago)
- Last Synced: 2024-07-16T20:04:32.672Z (4 months ago)
- Topics: deep-learning, nueral-networks, pharmaceuticals, word2vec
- Language: Jupyter Notebook
- Size: 83 KB
- Stars: 31
- Watchers: 2
- Forks: 17
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-drug-discovery - [Python Reference
README
# Smiles2vec
Proof of the concept implementation of smiles2vec paperImplementation of SMILES2VEC paper for IGC50 data set.
https://arxiv.org/abs/1712.02034
## Description
Activity is predicted from the smiles directly and R^2 value of 0.69 is obtained. The data set is about
Tetrahymena pyriformis IGC50 48h toxicity.