All Competitors

Viral protein annotation model predicting ten residue-level classes from sequence alone: topology, glycosylation, cleavage sites and disorder.

Multimodal generative model predicting viral antigenic change zero-shot from disentangled evolutionary, physicochemical, and structural signals.

Pan-viral genomic language model producing fixed genome-level embeddings of viral DNA and RNA, reused across classification tasks without retraining.

Viral protein language model that predicts a virus's animal host from one protein sequence, generalizing to rare and unseen hosts at 18M parameters.

Long-context protein language model that reads whole viral genomes, using interaction-guided sparse attention over contexts of 61,000 amino acids.

Protein language models evotuned on influenza A hemagglutinin, with a pLM entropy metric scoring per-site conservation from a single input sequence.

Viral capsid fold classifier detecting the jelly roll motif from protein sequence alone, using logistic regression over frozen ProtTrans embeddings.