3 citations · 4 across the 5 of their papers we have counts for
5 papers
STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories
Daiheng Zhang, Shiyang Zhang, Sizhuang He +3
Discrete biological sequence optimization often requires goal-directed, parser-valid edits to an existing protein or molecule. Diffusion models support iterative refinement but do…
MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design
Jie Huang, Daiheng Zhang
Structure-based drug design (SBDD) seeks to generate molecules that bind effectively to protein targets by leveraging their 3D structural information. While diffusion-based generat…
Elucidating the Design Space of Multimodal Protein Language Models
Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang +5
Multimodal protein language models (PLMs) integrate sequence and token-based structural information, serving as a powerful foundation for protein modeling, generation, and design.…
Rectified Flow For Structure Based Drug Design
Daiheng Zhang, Chengyue Gong, Qiang Liu
Deep generative models have achieved tremendous success in structure-based drug design in recent years, especially for generating 3D ligand molecules that bind to specific protein…
Leveraging Multi-modal Representations to Predict Protein Melting Temperatures
Daiheng Zhang, Yan Zeng, Xinyu Hong +1
Accurately predicting protein melting temperature changes (Delta Tm) is fundamental for assessing protein stability and guiding protein engineering. Leveraging multi-modal protein…