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Use when working with Ankh — an optimized protein language model — for generating protein sequence embeddings, secondary structure prediction, remote homology detection, and protein property predictio
Use with AI
Install the MCP server or CLI to instantly fetch Ankh documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/ankh
Hugging Face Transformers — state-of-the-art machine learning library for natural language processing, computer vision, audio, and multimodal tasks. Provides pretrained models (BERT, GPT-2, T5, Llama,
1 shared topic • 1 shared operation
ProteinBERT — universal deep-learning model for protein sequences and function. Generate per-residue and global protein embeddings using a BERT-style transformer pretrained on 106 million UniRef90 seq
1 shared topic • 1 shared operation
Use when working with ProtTrans — a collection of protein language models (ProtT5, ProtBert, ProtAlbert, ProtXLNet, ProtElectra) — for generating protein sequence embeddings, secondary structure predi
1 shared topic • 1 shared operation
Use when working with ProtTrans — a family of protein language models (ProtT5, ProtBert, ProtAlbert, ProtXLNet, ProtElectra) — for generating protein sequence embeddings, secondary structure predictio
1 shared topic • 1 shared operation
Use when working with PubMedBERT — a BERT model pretrained from scratch on PubMed abstracts — for biomedical NLP tasks including named entity recognition, relation extraction, question answering, and
1 shared topic • 1 shared operation