Building fine-tuning capabilities for co-folding models in pharmaceutical research

We rebuilt the SandboxAQ affinity head inside ApherisFold and fine-tuned it on 49 JAK2 macrocycles. Architectural changes alone lifted Spearman ranking from 0.418 to 0.60; fine-tuning then pushed validation Pearson from 0.23 to 0.76, mostly by correcting how the model handled inactives.

Delivering a state-of-the-art federated co-folding model across five pharma companies in record time

Co-folding models help lead optimization by predicting binding modes, filtering weak candidates before synthesis, and improving compound prioritization through benchmarking, fine-tuning, and expert review.