Author

Ying Lv

Shanghai Artificial Intelligence Laboratory

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· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:multiome· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Gang XuiD· 2 shared Jianpeng MaiD· 2 shared Qinghua WangiD· 1 shared Qinghua WangiD· 1 shared Ruoxi ZhangiD· 1 shared Xinyuan Xia· 1 shared Yulu Yang· 1 shared Zhenwei LuoiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Gang XuORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

OPUS-GO: An interpretable protein/RNA sequence annotation framework based on biological language model

Gang Xu, Ying Lv, Ruoxi Zhang, Xinyuan Xia, Qinghua Wang, Jianpeng Ma

OPUS-GO provides sequence-level and residue-level annotations for proteins and RNA sequences using a biological language model and modified MIL strategy, improving accuracy and interpretability.

bioRxiv · Dec 17, 2024 · PreprintBioinformatics

OPUS-BFactor: Predicting protein B-factor with sequence and structure information

Gang Xu, Yulu Yang, Ying Lv, Zhenwei Luo, Qinghua Wang, Jianpeng Ma

OPUS-BFactor predicts normalized protein B-factors using sequence or structural information, outperforming existing methods on benchmark datasets.

bioRxiv · Jul 17, 2024 · PreprintBioinformatics