Author

Yinglu Cui

Chinese Academy of SciencesORCID 0000-0002-2147-5879Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1

Frequent Co-Authors

Bian WuiD· 2 shared Chunli LiiD· 1 shared Haiyan LiuiD· 1 shared Hua XiangiD· 1 shared Jialong Xu· 1 shared Jing HaniD· 1 shared Jinyuan SuniD· 1 shared Linhao SongiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Bian WuORCID

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3 papers

Recent·Most cited

A mycovirus identified from an outbreak fungal species complex reveals a parallel antiviral system

Zhenghao Shen, Zeyu Duan, Xiaoyu Ma, Linhao Song, Xin Luo, Jialong Xu, Ruiqiao Li, Yinglu Cui, Xiao Liu, Linqi Wang

The paper identifies a mycovirus in the Cryptococcus gattii species complex and reveals parallel antiviral mechanisms involving RNAi and a novel RNase III gene.

bioRxiv · Sep 17, 2026 · PreprintGenetics

Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutation at the protein universe scale

Jinyuan Sun, Tong Zhu, Yinglu Cui, Bian Wu

This paper introduces Pythia, a self-supervised graph neural network for fast and accurate prediction of mutation-induced stability changes across protein structures, showing superior performance and speed.

bioRxiv · Aug 9, 2023 · PreprintBioinformatics

Computational redesign of a PETase for plastic biodegradation by the GRAPE strategy

Yinglu Cui, Yanchun Chen, Xinyue Liu, Saijun Dong, Yu’e Tian, Yuxin Qiao, Ruchira Mitra, Jing Han, Chunli Li, Xu Han, Weidong Liu, Quan Chen, Wenbin Du, Shuang‐Yan Tang, Hua Xiang, , Bian Wu

This paper computationally redesigns PETase to improve its stability and PET degradation efficiency using the GRAPE strategy.

bioRxiv · Oct 30, 2019 · PreprintSynthetic Biology