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GitHub / BUAA-LiuLab / DCPP

We design a multimodal-reinforced deep learning (DCPP) approach to predict the co-assembly capabilities of two drug molecules. DCPP consists of three models: multimodal-reinforced molecular co-assembly prediction model Mol-CA Net, co-assembly interpretation model and drug-pathway prediction model.

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Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Python
Repo Size: 25.7 MB
Dependencies: 157

Created: 9 months ago
Updated: 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago

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