collaborators

6 papers

cs.LG2026

BEAT-Net: Injecting Biomimetic Spatio-Temporal Priors for Interpretable ECG Classification

Runze Ma, Caizhi Liao

Although deep learning has advanced automated electrocardiogram (ECG) diagnosis, prevalent supervised methods typically treat recordings as undifferentiated one-dimensional (1D) si…

q-bio.GN2025

NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction

Zhongmin Li, Runze Ma, Jiahao Tan +2

Nucleotide sequence variation can induce significant shifts in functional fitness. Recent nucleotide foundation models promise to predict such fitness effects directly from sequenc…

q-bio.BM2025

ODesign: A World Model for Biomolecular Interaction Design

Odin Zhang, Xujun Zhang, Haitao Lin +34

Biomolecular interactions underpin almost all biological processes, and their rational design is central to programming new biological functions. Generative AI models have emerged…

cs.LG2025

Fitness aligned structural modeling enables scalable virtual screening with AuroBind

Zhongyue Zhang, Jiahua Rao, Jie Zhong +22

Most human proteins remain undrugged, over 96% of human proteins remain unexploited by approved therapeutics. While structure-based virtual screening promises to expand the druggab…

q-bio.BM2025

An Energy-Adaptive Elastic Equivariant Transformer Framework for Protein Structure Representation

Zhongyue Zhang, Runze Ma, Yanjie Huang +1

Structure-informed protein representation learning is essential for effective protein function annotation and \textit{de novo} design. However, the presence of inherent noise in bo…

q-bio.BM2025

RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching

Runze Ma, Zhongyue Zhang, Zichen Wang +4

Ribonucleic acid (RNA) binds to molecules to achieve specific biological functions. While generative models are advancing biomolecule design, existing methods for designing RNA tha…