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Attribute
Biological Foundation Models

ProGen 2

Salesforce AI Research
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CategoryBiological Foundation Models
CompanySalesforce AI Research
PriceFree Open Source
StatusStatus not confirmed
AvailabilityAvailable on GitHub and Hugging Face
Last checked20/09/2026
FeaturesTrained on over 1 billion sequences from UniParc, BFD, and metagenomic sources, Controllable sequence generation with tag-based conditioning, High accuracy zero-shot variant effect prediction, Model sizes ranging from 150M to 6.4B parameters
Entry typeAI Model
Access modeOpen Source
AI roleGenerative Protein Modeling
Input dataNot recorded
Output dataNot recorded
Licence conditionsBSD-3-Clause
Commercial eligibilityPermissive open source release
Compute requirements1x GPU (>= 16GB VRAM) for inference
ValidationNot recorded
TypeAutoregressive protein language model
Intended useNot recorded
CompatibilityNot recorded
ManufacturerSalesforce AI Research
Biological applicationEnzyme engineering, antibody optimization, and zero-shot fitness prediction
Research workflowGenerate sequence variants with high predicted stability and activity
Evidence levelPeer-reviewed publication (NeurIPS 2023)
Integration evidencehttps://github.com/salesforce/progen
Laboratory handoffSequences ready for oligonucleotide synthesis and screening