Author

D. Minh

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

D. A. Cooper· 2 shared A. P. Runde· 1 shared A. Zigrossi· 1 shared B. Flowers· 1 shared B. Gad· 1 shared D. Zak· 1 shared E. C. Fink· 1 shared G. R. Hancock· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

D. A. Cooper

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Targeting Unique Ligand Binding Domain Structural Features Downregulates DKK1 in Y537S ESR1 Mutant Breast Cancer Cells

K. S. Young, G. R. Hancock, E. C. Fink, A. Zigrossi, B. Flowers, D. A. Cooper, V. T. Ngyuen, M. Martinez, K. S. Mon, M. C. Bosland, D. Zak, A. P. Runde, M. N. Sharifi, I. Kastrati, D. Minh, , S. W. Fanning

This study investigates how a novel SERM, T6I-29, downregulates DKK1 in Y537S ESR1 mutant breast cancer cells and identifies DKK1 as a potential therapeutic target.

bioRxiv · May 28, 2024Cancer Biology

Intracellular pocket conformations determine signaling through the μ opioid receptor

D. A. Cooper, J. DePaolo-Boisvert, S. A. Nicholson, B. Gad, D. Minh

The paper uses a machine learning model to predict signaling efficacy through the μ opioid receptor by analyzing intracellular pocket conformations.

bioRxiv · Apr 3, 2024Biophysics