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Da Xu

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#machine learning Preprint Sep 2026

Improving scoring functions for protein-protein docking with LambdaLoss

Modeling protein-protein interactions requires accurate scoring functions that can rank potential poses (conformations) of a protein-protein complex to differentiate near-native poses from incorrect ones. Here, we propose a general framework for improving protein-protein pose ranking and other biomolecular interaction...

Richard Zhu, Da Xu, Lee-Shin Chu et al. · 0 citations
Open access Aug 2026

A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability.

The AIntibody challenge shows that AI can optimize antibodies in defined, biologically grounded regimes, in addition to highlighting critical gaps including affinity prediction and library-inspired antibody design and cross-task generalization.

M. Erasmus, Daniel Bedinger, Elizabeth Hopkins et al. · 0 citations

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