4 citations · 6 across the 4 of their papers we have counts for
4 papers
SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction
Shuizhou Chen, Lang Yu, Xueqin Lin +12
Virtual-cell models aim to predict how cell populations respond to perturbations, but control and treated cells are measured as unpaired populations, complicating the learning of p…
Accurate Prediction of Antibody Function and Structure Using Bio-Inspired Antibody Language Model
Hongtai Jing, Zhengtao Gao, Sheng Xu +7
In recent decades, antibodies have emerged as indispensable therapeutics for combating diseases, particularly viral infections. However, their development has been hindered by limi…
AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
Zhongju Yuan, Tao Shen, Sheng Xu +3
Deep learning-based approaches, such as AlphaFold2 (AF2), have significantly advanced protein tertiary structure prediction, achieving results comparable to real biological experim…
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM
Zhou Fan, Roy R. Lederman, Yi Sun +2
Motivated by applications to single-particle cryo-electron microscopy (cryo-EM), we study several problems of function estimation in a high noise regime, where samples are observed…