1 citations · 1 across the 3 of their papers we have counts for
6 papers
ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation
Cong Liu, Milong Ren, Jiaqi Guan +4
Recent advances in de novo protein binder design have enabled increasing experimental validation, yet reported in silico metrics remain difficult to interpret or compare across stu…
A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion
Chaoran Cheng, Jiaqi Guan, Milong Ren +5
We present A-CODE, a fully atomic unified one-stage protein co-design model that simultaneously refines discrete atom types and continuous atom coordinates. Unlike predominant two-…
Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
Cong Liu, Chengyue Gong, Zhenyu Liu +2
Generative models hold great promise for accelerating material discovery but are often limited by their inflexible single-stage generative process in designing valid and diverse ma…
XDXD: End-to-end crystal structure determination with low resolution X-ray diffraction
Jiale Zhao, Cong Liu, Yuxuan Zhang +4
Determining crystal structures from X-ray diffraction data is fundamental across diverse scientific fields, yet remains a significant challenge when data is limited to low resoluti…
Protenix-Mini+: efficient structure prediction model with scalable pairformer
Bo Qiang, Chengyue Gong, Xinshi Chen +2
Lightweight inference is critical for biomolecular structure prediction and downstream tasks, enabling efficient real-world deployment and inference-time scaling for large-scale ap…
Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM
Chengyue Gong, Xinshi Chen, Yuxuan Zhang +3
Lightweight inference is critical for biomolecular structure prediction and other downstream tasks, enabling efficient real-world deployment and inference-time scaling for large-sc…