Redundant protein experiments fused into a ranking model for variant effects
Overlapping deep mutational scanning experiments were fused into a consensus variant soundness score that trained ESMRank, a sequence-based learning-to-rank model ...
Overlapping deep mutational scanning experiments were fused into a consensus variant soundness score that trained ESMRank, a sequence-based learning-to-rank model ...
A computational and experimental study identified three yak bone collagen peptides that inhibited MMP-1 and extended the lifespan of Caenorhabditis ...
Using the ESM3 protein language model, researchers engineered a hemoglobin variant with enhanced stability, heme binding, and oxygen affinity, validated ...
A researcher at IIIT Allahabad has developed IDP-T5CKNN, a lightweight protein language model method that outperforms more than 20 existing ...
A new dual-graph deep learning framework called CGA-DTA conditions molecular graph topology on the binding partner and applies cross-graph attention ...
An international research team has developed CLSS, a protein language model that unites amino acid sequence and structural information into ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine