most citedPFMBench: Protein Foundation Model Benchmark

1 citations · 2 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG20251 cited

Multimodal Regression for Enzyme Turnover Rates Prediction

Bozhen Hu, Cheng Tan, Siyuan Li +4

The enzyme turnover rate is a fundamental parameter in enzyme kinetics, reflecting the catalytic efficiency of enzymes. However, enzyme turnover rates remain scarce across most org…

cs.AI2025

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches

Cheng Tan, Qi Chen, Jingxuan Wei +6

Hand-drawn sketches are a natural and efficient medium for capturing and conveying ideas. Despite significant advancements in controllable natural image generation, translating fre…

cs.LG2025

AlphaFold Database Debiasing for Robust Inverse Folding

Cheng Tan, Zhenxiao Cao, Zhangyang Gao +3

The AlphaFold Protein Structure Database (AFDB) offers unparalleled structural coverage at near-experimental accuracy, positioning it as a valuable resource for data-driven protein…

q-bio.BM20251 cited

PFMBench: Protein Foundation Model Benchmark

Zhangyang Gao, Hao Wang, Cheng Tan +6

This study investigates the current landscape and future directions of protein foundation model research. While recent advancements have transformed protein science and engineering…

cs.LG2025

G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion

Mengdi Liu, Zhangyang Gao, Hong Chang +3

Understanding how genes influence phenotype across species is a fundamental challenge in genetic engineering, which will facilitate advances in various fields such as crop breeding…

q-bio.QM2025

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

Cheng Tan, Yijie Zhang, Zhangyang Gao +6

The development of therapeutic antibodies heavily relies on accurate predictions of how antigens will interact with antibodies. Existing computational methods in antibody design of…