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MolLM: a unified language model for integrating biomedical text with 2D and 3D molecular representations.

Xiangru TangAndrew TranJeffrey TanMark B Gerstein
Published in: Bioinformatics (Oxford, England) (2024)
Our code, data, pre-trained model weights, and examples of using our model are all available at https://github.com/gersteinlab/MolLM. In particular, we provide Jupyter Notebooks offering step-by-step guidance on how to use MolLM to extract embeddings for both molecules and text.
Keyphrases
  • oxidative stress
  • smoking cessation
  • working memory
  • autism spectrum disorder
  • resistance training
  • big data