ImmuneBuilder — deep-learning models for predicting 3D structures of immune proteins from amino acid sequence alone. Provides three specialist predictors: ABodyBuilder2 (paired antibody Fv), NanoBodyB
Use with AI
Install the MCP server or CLI to instantly fetch ImmuneBuilder documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/immunebuilder
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
3 shared topics • 1 shared operation
BERN2 (Biomedical Entity Recognition and Normalization 2) is a biomedical NLP tool for named entity recognition and normalization in free text and PubMed abstracts. Identifies and normalizes genes, di
3 shared topics • 1 shared operation
BioGPT — domain-specific generative pre-trained transformer for biomedical text mining and generation, pre-trained on 15M+ PubMed abstracts. Supports biomedical text generation, relation extraction, q
3 shared topics • 1 shared operation
ClimaX — Vision Transformer foundation model for weather and climate science from Microsoft Research. Pretrained on CMIP6 via self-supervised learning, then fine-tuned for global forecasting (ERA5), r
3 shared topics • 1 shared operation
OGER (OntoGene Entity Recogniser) — dictionary-based biomedical named entity recognition (NER) tool that annotates text using ontology resources including UniProt, MeSH, CTD, CRAFT, and ChEBI. Accepts
3 shared topics • 1 shared operation