Hao Zhu

AutoPELSA automates the PELSA workflow for proteome-wide ligand-protein interaction detection, enabling high-throughput analysis of both strong and low-affinity ligands.

The paper develops a pipeline to estimate neuronal tuning for word meaning from naturalistic speech and validates it using patient data and ground-truth controls.

This paper introduces IMUSE, a method combining machine learning and ultra-high-throughput screening to explore enzyme spaces, identifying mutations that significantly improve enzyme activity.

OmicOS provides an agent-operable omics ecosystem that enables AI systems to execute and verify analyses using community methods, achieving high performance in benchmark tasks.

This study analyzes NLR immune receptor evolution in 23 Solanoideae species, revealing lineage-specific expansions and functional differentiation in their NLRomes.

This study identifies NRF2 pathway activation and SPP1⁺TREM2⁺ macrophages as drivers of chemoradiotherapy resistance in ESCC through multi-omics analysis of clinical trial data.