ProGen2
Protein language model trained on diverse protein families for sequence generation and fitness prediction.
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- Computational Biology
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- 2026-10-10
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Protein LM github.com
Implements BERT and autoregressive models for proteins, as described in Biological Structure and Function Emerge from Scaling Unsupervised Learning to 250 Million Protein Sequences and ProGen: Language Modeling for Protein Generation.
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ProtTrans github.com
Suite of protein language models (ProtBERT, ProtT5, ProtXLNet) trained on billions of protein sequences from UniRef and BFD.
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Protenix github.com
Trainable biomolecular structure-prediction framework for proteins, nucleic acids, ligands, and complexes with open training and inference pipelines.
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SaProt github.com
Structure-aware protein language model using structure-aware tokens that encode both sequence and backbone geometry for improved function prediction.
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AlphaGenome github.com
Long-context DNA model predicting multimodal regulatory outputs including expression, splicing, chromatin features, and contact maps at near base-pair resolution.
Computational Biology › Machine Learning Tasks and Models > Foundation Models > Protein Foundation Models: “Protein language model trained on diverse protein families for sequence generation and fitness prediction.”