Author

Kittisak Taoma

Center of Excellence in Theoretical and Computational ScienceORCID 0000-0002-8743-1393Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Organism:yeast· 1

Frequent Co-Authors

Pavel KraikivskiiD· 2 shared Teeraphan LaomettachitiD· 2 shared John J. TysoniD· 1 shared Robert C. ClarkeiD· 1 shared Surojeet SenguptaiD· 1 shared Yue WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersCancer Biology

Pavel KraikivskiORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintSep 10, 2026

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

Kittisak Taoma, Teeraphan Laomettachit, Surojeet Sengupta…·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.

DOI 10.64898/2026.09.05.749284

humanstatistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintJan 4, 2024

Normal and Aberrant Cell Cycles Characterized by a Continuous-Time Stochastic Boolean Model of Cell Cycle Regulation in Budding Yeast

Kittisak Taoma, John J. Tyson, Teeraphan Laomettachit, Pavel Kraikivski

The paper develops a stochastic Boolean model of the budding yeast cell cycle that accurately replicates wild-type and mutant phenotypes, providing a validated framework for studying cell cycle regulation.

DOI 10.1101/2024.01.04.574212

yeaststatistical model

𝕏 PostBluesky