agemagician/ProtTrans

Health v2 · maintenance only

Adoption not part of the score

1324 stars · 169 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ProtTrans provides state-of-the-art pre-trained Transformer language models for protein sequences, trained on thousands of GPUs and hundreds of TPUs. It includes notebooks and code for feature extraction, fine-tuning, prediction, and protein sequence generation.

Use cases

• extract embeddings from protein sequences
• fine-tune a protein language model on downstream tasks
• predict protein secondary structure or per-residue properties
• generate novel protein sequences
• visualize transformer attention on proteins
• benchmark protein language models

When to choose

• you need pretrained protein language models like ProtT5 or ProtBERT
• you want embeddings for protein sequences for downstream ML
• you are doing bioinformatics or Covid-19 related protein research

When to avoid

• you need a production-ready web service rather than models and notebooks
• you work outside protein/bioinformatics domains
• you lack GPU/TPU resources for large transformer models

Facets

library · maturity active

machine-learning deep-learning nlp sdk bioinformatics deep-learning healthcare python cross-platform protein-language-models transformers pretrained-models transfer-learning embeddings bioinformatics protein-sequences natural-language-processing gpu

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markdown · JSON · MCP: product_card(name="agemagician/ProtTrans")