Author

Xiaowen Hu

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Open access Jul 2026

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

SimSiam‐MuTF is introduced, a novel fine‐tuning framework to enhance the detection of resistance variants by explicitly aligning latent embedding distances with the corresponding shifts in binding affinity between WT and MT targets, which deepen the understanding of mutation‐induced resistance.

Xiaowen Hu, Pan Zhang, Shangqian Wu et al. · Advancement of science · 0 citations

Open access Aug 2026

Structure-agnostic protein–ligand binding affinity prediction via hierarchical representation alignment

Abstract Motivation To enable real-world protein-ligand affinity prediction, not only out-of-distribution generalization but also robustness to variable structural availability and quality should be considered in model design. Results We present AlignNet, a hierarchical representation alignment framework that mitigates...

Xiaowen Hu, Hong-Yi Huang, Hao Sun et al. · Bioinform. · 0 citations