Synthyra

Sequence-only interaction model scoring protein-protein and protein-ligand pairs plus functional annotation across whole proteomes in seconds.

Sequence-only protein-protein interaction prediction at proteome scale. Each protein is embedded once, so a pair score compares two stored vectors.

Protein language model trained with masked diffusion, unifying representation learning and generative design in one 650M-parameter model.

Protein binding affinity prediction from sequence alone, returning pKd and per-residue interface labels instead of a yes-or-no interaction call.

Predicts EC, GO, InterPro, Gene3D, keyword and cofactor terms from sequence, emitting database identifiers rather than free-text function guesses.

Sequence-pair interaction classifier fine-tuned from ProtBERT-BFD, trained against synthetic negatives generated by BLOSUM62-guided mutation.