Author

Milad Ghomlaghi

Monash UniversityORCID 0000-0001-9047-1049Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Lan K. NguyeniD· 3 shared Sung‐Young ShiniD· 2 shared Anderly C. ChüehiD· 1 shared David Ernest JamesiD· 1 shared Dominic C.H. NgiD· 1 shared Guang YangiD· 1 shared Nicole J. ChewiD· 1 shared Roger J. DalyiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersSystems Biology

Lan K. NguyenORCID

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3 papers

Recent·Most cited

Systems BiologyNature CommunicationsPeer-reviewedAug 5, 2024

Stress pathway outputs are encoded by pH-dependent phase separation of its components.

Yuliia Didan, Milad Ghomlaghi, Lan K. Nguyen, Dominic C.H. Ng

The paper shows that intracellular pH regulates JNK pathway activity through phase separation of its components, affecting signal strength and cellular responses to stress.

9 citations

statistical model

𝕏 PostBluesky

Systems BiologybioRxivPreprintNov 3, 2021

Integrative Modelling of Signalling Network Dynamics Identifies Cell Type-selective Therapeutic Strategies for FGFR4-driven Cancers

Sung‐Young Shin, Nicole J. Chew, Milad Ghomlaghi…·Roger J. Daly

The paper develops a computational model of FGFR4 signalling to identify cell type-selective combination therapies for FGFR4-driven cancers, revealing AKT and ERK reactivation as key resistance mechanisms.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky

Systems BiologyPLoS Computational BiologyPeer-reviewedSep 16, 2021

Dynamic modelling of the PI3K/mTOR signalling network uncovers biphasic dependence of mTORC1 activation on the mTORC2 subunit Sin1

Milad Ghomlaghi, Sung‐Young Shin, Guang Yang…·Lan K. Nguyen

The paper uses computational models and experiments to show mTORC1 activity depends biphasically on mTORC2 subunit Sin1 and highlights mLST8 as a therapeutic target in breast cancer.

24 citations

humanstatistical model

𝕏 PostBluesky