cyberneticlibrary

Build GNNs for drug discovery and protein modeling

torchdrugskillsetup L327,559
K-Dense-AI/scientific-agent-skills
What it does

Build custom GNN architectures for drug and protein discovery

Best for

When building custom architectures for molecular property or protein prediction.

Inputs
  • · Tensor or numpy array
  • · File (DOCX/PDF/PPTX/XLSX)
Outputs
  • · Tensor or embedding
  • · Predictions or logits
Requires
  • · PyTorch
  • · RDKit
Preconditions

Python 3.7+; PyTorch installed

Failure modes

CUDA out-of-memory with large models

Trust signals
  • · Documented code examples
  • · Version compatibility matrix