Tag: ESM-2

A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions ...

A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein ...

Researchers used a protein language model and an epistatic rescue algorithm to computationally humanize a bacterial peptide transporter, paving the ...

A new dual-graph deep learning framework called CGA-DTA conditions molecular graph topology on the binding partner and applies cross-graph attention ...

Researchers have developed AVP-Pro, a two-stage deep learning framework that identifies antiviral peptides and predicts which virus families and specific ...