Peptide language model trained on HELM notation, a DeBERTa encoder for property prediction on macrocyclic and non-canonical medium-sized peptides.
Kyoto University / Fujitsu / RIKEN Center for Advanced Intelligence Project / RIKEN BioResource Research Center / RIKEN Center for Computational Science / RIKEN Center for Biosystems Dynamics Research / Tottori University
Released February 15, 2024
Compound-protein interaction prediction coupling a chemical language model to a protein language model via a cross-attention block.
Generative RNA design model that samples family sequences from a VAE latent space constrained by Rfam covariance models and consensus structure.