RomeroLab-Duke/prism-antibody

https://huggingface.co/RomeroLab-Duke/prism-antibody
Activeby RomeroLab-Duke02updated 1 month ago

PRISM is an antibody language model that jointly predicts amino acid identity and germline/non-germline (GL/NGL) position classification, enabling developability-aware antibody sequence modeling.

Sourced from

  • HuggingFaceRomeroLab-Duke/prism-antibody

Related resources

A frontier protein-language generative model — because proteins deserve better small talk.

Active102.3K3 months ago

End-to-end molecular dynamics engine built on PyTorch, enabling differentiable simulations with neural network potentials and GPU acceleration for machine learning-accelerated molecular dynamics (MIT License, 707+ stars)

Active7112 months ago
Python
MIT
Idle12K1 year ago
Python

ESMC is a state-of-the-art protein language model that has learned the rules of protein biology from training on billions of protein sequences. ESMC provides representations of proteins enabling novel AI applications from therapeutic protein engineering to unlocking basic insights into protein…

Active1.3M1 month ago
Python

A frontier protein-language generative model — because proteins deserve better small talk.

Active163 months ago

# FremyCompany/BioLORD-2023 This model was trained using BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.

Idle440K1 year ago
Python