1 citations · 2 across the 4 of their papers we have counts for
6 papers
InstructPro2: Natural Language and Biological Grounding Guided De Novo Protein Design
Charles Novak, Zhenqiao Song, Chuan Li +2
The ability to generate proteins with desired functions is a central goal of computational biology. Although natural language can express diverse design objectives, existing protei…
Joint Discrete and SE(3) Diffusion for Protein Interface Design
Zhenqiao Song, Jianwen Xie, Lei Li
The design of high-affinity, target-specific protein binders is central to the development of modern therapeutics. However, existing protein-generation methods remain limited in th…
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
Zhenqiao Song, Tiaoxiao Li, Lei Li +1
Designing protein-binding proteins with high affinity is critical in biomedical research and biotechnology. Despite recent advancements targeting specific proteins, the ability to…
InstructPro: Natural Language Guided Ligand-Binding Protein Design
Zhenqiao Song, Ramith Hettiarachchi, Chuan Li +2
The de novo design of ligand-binding proteins with tailored functions is essential for advancing biotechnology and molecular medicine, yet existing AI approaches are limited by sca…
Joint Design of Protein Sequence and Structure based on Motifs
Zhenqiao Song, Yunlong Zhao, Yufei Song +3
Designing novel proteins with desired functions is crucial in biology and chemistry. However, most existing work focus on protein sequence design, leaving protein sequence and stru…
Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design
Zhenqiao Song, Yunlong Zhao, Wenxian Shi +2
Proteins are macromolecules responsible for essential functions in almost all living organisms. Designing reasonable proteins with desired functions is crucial. A protein's sequenc…