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Use when working with CPA, Compositional Perturbation Autoencoder, single-cell perturbation modeling, drug-response latent spaces, out-of-distribution prediction for unseen drug combinations, dose-res
Use with AI
Install the MCP server or CLI to instantly fetch CPA documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/cpa
AntiFold — antibody-specific inverse folding model built on ESM-IF1, fine-tuned on antibody structures from SAbDab and OAS databases. Predicts residue log-likelihoods for antibody variable domains (IM
1 shared topic • 3 shared operations
Use when working with GEARS, the SNAP Stanford method for predicting transcriptional outcomes of single-gene and multi-gene perturbations from single-cell RNA-seq perturbation screens. GEARS exposes t
1 shared topic • 3 shared operations
GNNExplainer explains predictions made by graph neural networks by learning sparse masks over subgraph structure and node features. Use for post-hoc GNN interpretability, identifying important edges a
1 shared topic • 3 shared operations
Use when working with NetMHCpan 4.1 for MHC class I peptide binding and ligand presentation prediction. NetMHCpan accepts peptide lists or FASTA proteins, scores candidate ligands against up to 20 all
1 shared topic • 3 shared operations
Use when working with Sapiens — a BERT-based human antibody language model for antibody humanization, humanness scoring, and sequence design. Sapiens predicts humanizing mutations, scores residue-leve
1 shared topic • 3 shared operations