Author

Taojie Kuang

Peng Cheng 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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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Zhixiang ReniD· 2 shared Fengwei AniD· 1 shared Haomin WuiD· 1 shared HJ XuiD· 1 shared Mingqing WangiD· 1 shared Qiang Shawn ChengiD· 1 shared Shuang GeiD· 1 shared Yaxin XuiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Zhixiang RenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 25, 2026

Phenotype-driven de novo molecular design from gene expression signatures

Yaxin Xu, Taojie Kuang, Shuang Ge…·Zhixiang Ren

This paper introduces Tx2Mol, a framework that translates gene-expression signatures into candidate molecules, outperforming baselines in chemical plausibility and phenotypic preservation.

DOI 10.64898/2026.07.21.739736

bulk RNA-seqdeep learning

𝕏 PostBluesky

BioinformaticsPattern Analysis and ApplicationsPeer-reviewedJun 21, 2024

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information

Taojie Kuang, Yiming Ren, Zhixiang Ren

3D-Mol predicts molecular properties using 3D structure information by contrastive learning on 20M unlabeled data, outperforming baselines on 5 benchmarks.

19 citations

contrastive learningdrug response / drug discovery

𝕏 PostBluesky