Author

Surojeet Sengupta

University of MinnesotaORCID 0000-0002-3498-9668Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Kittisak TaomaiD· 1 shared Pavel KraikivskiiD· 1 shared Robert C. ClarkeiD· 1 shared Teeraphan LaomettachitiD· 1 shared Yue WangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

Kittisak TaomaORCID

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1 paper

Recent·Most cited

Stochastic Boolean Model of Death Signaling in MCF7:5C Predicts Cell Death Inducers and Inhibitors

Kittisak Taoma, Teeraphan Laomettachit, Surojeet Sengupta, Yue Wang, Robert C. Clarke, Pavel Kraikivski

The paper develops a stochastic Boolean model of apoptosis signaling in MCF7:5C cells to predict cell death inducers and inhibitors, identifying genetic and drug-target combinations that affect apoptosis pathways.

bioRxiv · Sep 10, 2026 · PreprintCancer Biology