Author

Kentaro Tomii

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#protein folding Open access Sep 2026

Efficient Discovery of Potent AKR1B10 Inhibitors Using Co-folding Model Boltz‑2

Although affinity prediction of protein–ligand binding remains an important challenge, cofolding models are expected to make virtual screening more effective for drug discovery and development. To verify the effectiveness of selecting a tractable number of candidates from a compound library using cofolding models, we s...

Shinya Kawano, Akira Ikari, Satoshi Endo et al. · Journal of Chemical Informat... · 0 citations

#protein folding Open access Aug 2026

Prot-LAMBDA: Explicit Distance Learning Enhances Structural Reasoning in Protein Language Models

Prot-LAMBDA is introduced, a PLM that explicitly incorporates spatial relationships by coupling residue embeddings with inter-residue contacts and LambdaFold, a lightweight distance-guided structure prediction framework that achieves performance comparable to ESMFold on proteins strictly non-redundant to the training d...

Nabil Ibtehaz, Zi-Cong Zhang, Yuki Kagaya et al. · bioRxiv · 0 citations