PSICHIC Multitask BBB Weights

Pre-trained PSICHIC weights for blood-brain barrier protein-ligand affinity prediction.

Files

  • model.pt (23MB) โ€” GNN model weights
  • degree.pt (2.4KB) โ€” Degree tensor for PNA aggregation
  • config.json (1KB) โ€” Model architecture configuration

Usage with BBB-Nuke

These weights are automatically downloaded by the BBB-Nuke pipeline when PSICHIC inference is needed for efflux transporter screening.

Model Details

  • Architecture: PSICHIC (Protein-Sequence-Informed Chemical Interaction Classifier)
  • Training: Multitask (regression + 3-class classification)
  • Hidden channels: 200
  • Layers: 3 (PNA with mean/min/max/std aggregation)
  • Heads: 5 (attention)

Citation

If you use these weights, please cite the PSICHIC paper and the BBB-Nuke pipeline.

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