Author

Xiang‐Wei Zhu

ORCID 0000-0002-1894-7679Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Éric MartiniD· 1 shared Li TianiD· 1 shared Prasenjit K. MukherjeeiD· 1 shared Valery R. PolyakoviD· 1 shared Xin LiuiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Éric MartinORCID

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1 paper

Recent·Most cited

All-Assay-Max2 pQSAR: Activity predictions as accurate as 4-concentration IC50s for 8,558 Novartis assays

Éric Martin, Valery R. Polyakov, Xiang‐Wei Zhu, Li Tian, Prasenjit K. Mukherjee, Xin Liu

The paper introduces All-Assay-Max2 pQSAR, a multi-task machine learning method that achieves IC50 prediction accuracy comparable to 4-concentration experiments across 8,558 Novartis assays.

Journal of Chemical Information and Modeling · Sep 13, 2019Peer-reviewedBioinformatics