Author

Shuxian Zou

Mohamed bin Zayed University of Artificial Intelligence

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:protein structure prediction· 3 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Eric P. XingiD· 3 shared Caleb N. EllingtoniD· 2 shared Dian LiiD· 2 shared Le SongiD· 2 shared Ning SuniD· 2 shared Sazan MahbubiD· 2 shared Tianhua Tao· 2 shared Yonghao ZhuangiD· 2 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersBioinformatics

Eric P. XingORCID

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Author profile →

4 papers

Recent·Most cited

Template-based RNA structure prediction advanced through a blind code competition

Youhan Lee, Shujun He, Toshiyuki Oda, G. John Rao, Yehyun Kim, Raehyun Kim, Hyunjin Kim, Cher Keng Heng, Danny Kowerko, Haowei Li, Hoa Nguyen, Arunodhayan Sampath Kumar, Raul Enrique Gomez, Meng Chen, Atsushi Yoshizawa, , Rhiju Das

The paper describes a Kaggle competition for RNA 3D structure prediction, showing that template-based methods can outperform deep learning approaches.

bioRxiv · Dec 30, 2025 · PreprintBiophysics

Rapid and Reproducible Multimodal Biological Foundation Model Development with AIDO.ModelGenerator

Caleb N. Ellington, Dian Li, Shuxian Zou, Elijah Cole, Ning Sun, Sohan Addagudi, Le Song, Eric P. Xing

AIDO.ModelGenerator enables rapid, reproducible multimodal foundation model development by integrating datasets, pre-trained models, and experiment recipes to improve biological predictions.

bioRxiv · Jun 30, 2025 · PreprintBioinformatics

Mixture of Experts Enable Efficient and Effective Protein Understanding and Design

Ning Sun, Shuxian Zou, Tianhua Tao, Sazan Mahbub, Dian Li, Yonghao Zhuang, Hongyi Wang, Xingyi Cheng, Le Song, Eric P. Xing

AIDO.Protein is a mixture-of-experts model for protein understanding and design, achieving state-of-the-art performance with improved efficiency.

bioRxiv · Nov 29, 2024 · PreprintBioinformatics

A Large-Scale Foundation Model for RNA Function and Structure Prediction

Shuxian Zou, Tianhua Tao, Sazan Mahbub, Caleb N. Ellington, Robin Algayres, Dian Li, Yonghao Zhuang, Hongyi Wang, Le Song, Eric P. Xing

This paper introduces AIDO.RNA, a large-scale foundation model for RNA function and structure prediction, achieving state-of-the-art performance on multiple tasks.

bioRxiv · Nov 28, 2024 · PreprintBioinformatics