All Competitors

RNA language model that learns base-level embeddings capturing sequence context and secondary structure, enabling fast structural alignment.

Protein language model pretrained on UniRef90 with masked language modeling and Gene Ontology annotation prediction, at 16 million parameters.

Antibody-specific language model trained on the OAS database for restoring missing residues and generating high-quality sequence representations.

Protein language model for zero-shot variant effect prediction, scoring mutations by log-odds from evolutionary sequences with no MSA or assay data.

Sparse attention transformer that extends BERT to 8x longer sequences via random, local, and global attention, with genomic sequence applications.