Pangu-Weather — AI-based global weather forecasting with 3D neural networks. Predicts atmospheric conditions at 0.25° resolution (~28 km) for lead times of 1, 3, 6, and 24 hours using Earth-Specific T
Use with AI
Install the MCP server or CLI to instantly fetch Pangu-Weather documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/pangu-weather
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
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
Boltz-1 — open-source deep learning model for predicting biomolecular 3D structures and interactions, approaching AlphaFold3-level accuracy. Supports protein, DNA, RNA, and small-molecule ligand struc
1 shared topic • 2 shared operations