Author

Xia Sheng

Chinese Academy of SciencesORCID 0009-0003-1154-0029Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Assay:protein structure· 1

Frequent Co-Authors

Dan TengiD· 2 shared Duanhua CaoiD· 2 shared Mingyue ZhengiD· 2 shared Xiaomin LuoiD· 2 shared Zhehuan Fan· 2 shared Chuanlong Zeng· 1 shared Huicong Ma· 1 shared Jie YuiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Dan TengORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 3, 2025

Benchmarking Real-World Applicability of Molecular Generative Models from De novo Design to Lead Optimization with MolGenBench

Duanhua Cao, Zhehuan Fan, Jie Yu…·Mingyue Zheng

This paper introduces MolGenBench, a benchmark for evaluating molecular generative models in drug discovery, highlighting gaps between current models and real-world pharmaceutical workflows.

2 citations

deep learningbenchmark study

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Molecular BiologybioRxivPreprintJun 4, 2025

Advancing Ligand Binding Affinity Prediction with Cartesian Tensor-Based Deep Learning

Jie Yu, Xia Sheng, Zhehuan Fan…·Mingyue Zheng

PBCNet2.0 predicts protein-ligand binding affinity using a cartesian tensor-based Siamese Neural Network, achieving high accuracy and efficiency compared to physics-based simulations.

2 citations

humanprotein structure

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