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Vilya-2 preprint extends all-atom modeling to macrocycle–target interfaces

Company / institutional announcement · Vilya Research / arXiv (preprint)

Source published: 2026-07-28

Site published: 2026-11-03 · Updated: 2026-11-03

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Findings and limitations Industry implications Related developments

What changed

Vilya-2 extends the company’s all-atom representation from individual molecules to interactions with protein targets using a diffusion-transformer model. The preprint focuses on noncanonical residues, macrocyclization, and complex topologies. Company examples include modeling icotrokinra and enlicitide complexes. Structural predictions support discovery hypotheses rather than proving oral exposure or clinical activity for newly designed candidates.

Why it may matter

Addresses peptide chemistries poorly represented in conventional co-folding models; independent experiments must connect structural predictions with binding and developability.

The interpretation above is analysis, not a conclusion attributed to the original source.

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Oral cyclic peptides

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