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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
Use with AI
Install the MCP server or CLI to instantly fetch Sapiens documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/sapiens
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
2 shared topics • 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
2 shared topics • 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
2 shared topics • 3 shared operations
LitVar — biomedical literature mining for genetic variants. Search PubMed and PMC full-text articles for mentions of SNPs, indels, and other genetic variants by rsID, gene name, or HGVS notation. Retr
3 shared topics • 1 shared operation
scispaCy is a Python package for biomedical and scientific text processing built on spaCy. Provides pretrained NLP models for biomedical NER (disease, chemical, gene, mutation entities), entity linkin
3 shared topics • 1 shared operation