20eddibae/sceptr-ac-tcrdist-soft

OmniTCR is a component-aware autoregressive foundation model for learning relationships among peptide epitopes, major histocompatibility complex (MHC) molecules, T-cell receptor alpha chains (TRA) and T-cell receptor beta chains (TRB).

This Hugging Face repository stores the official resources for RAMER (reaction-aware multimodal enzyme function representation model).

ClustIRR analyzes repertoires of B- and T-cell receptors. It starts by identifying communities of immune receptors with similar specificities, based on the sequences of their complementarity-determining regions (CDRs). Next, it employs a Bayesian probabilistic models to quantify differential community occupancy (DCO) between repertoires, allowing the identification of expanding or contracting communities in response to e.g. infection or cancer treatment.

This model card provides an overview of the intended use of the ESMC SAE models and examples of how to access them, but it does not have a specific model or model weights. To access each SAE model collection, use the links below:

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