Wenwu Zeng

This paper introduces HomoDSP, a method for DNA-binding specificity prediction using homologous protein-DNA structures, showing improved accuracy and generalization over existing methods.

This paper introduces a symmetric self-play framework for protein inverse folding that improves sequence design self-consistency by decoupling structural objectives.

The paper introduces EiRA, a generative model for designing proteins that bind biomolecules, achieving state-of-the-art performance across multiple metrics and demonstrating DNA-conditioned binder design.

GeSite identifies nucleic acid-binding residues using a domain-adaptive protein language model and explainable geometric deep learning, showing superior performance on benchmark datasets.

This paper introduces ESM-DBP, a domain-adapted protein language model for DNA-binding proteins, showing improved prediction performance and interpretability.