Prof. Dagmar Kulms
Person

Affiliations

Department of Dermatology
- Academic Staff
- dagmar.kulms@tu-dresden.de

Identification Numbers

ORCID	0000-0001-6874-0548
Scopus author ID	6602771318

Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity

De Landtsheer, S., Badkas, A., Kulms, D. & Sauter, T., 1 Nov 2024, In: Briefings in bioinformatics. 25(2024), 6, 14 p., bbae567.

Research output: Contribution to journal › Research article › Contributed › peer-review

A cytosolic mutp53(E285K) variant confers chemoresistance of malignant melanoma

Dunsche, L., Ivanisenko, N., Riemann, S., Schindler, S., Beissert, S., Angeli, C. & Kreis, S. & 3 others, Tavassoli, M., Lavrik, I. N. & Kulms, D., 14 Dec 2023, In: Cell Death and Disease. 14, 12, 831.

Research output: Contribution to journal › Research article › Contributed › peer-review

RL2 Enhances the Elimination of Breast Cancer Cells by Doxorubicin

Wohlfromm, F., Seyrek, K., Ivanisenko, N., Troitskaya, O., Kulms, D., Richter, V. & Koval, O. & 1 others, Lavrik, I. N., 6 Dec 2023, In: Cells. 12, 24, 2779.

Research output: Contribution to journal › Research article › Contributed › peer-review

Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma

Bintener, T., Pacheco, M. P., Philippidou, D., Margue, C., Kishk, A., Del Mistro, G. & Di Leo, L. & 7 others, Moscardó Garcia, M., Halder, R., Sinkkonen, L., De Zio, D., Kreis, S., Kulms, D. & Sauter, T., 26 Jul 2023, In: Cell Death and Disease. 14, 7, 468.

Research output: Contribution to journal › Research article › Contributed › peer-review

Apoptotic cell death in disease-Current understanding of the NCCD 2023

GINECO Study Group, Kulms, D. & Linkermann, A., May 2023, In: Cell death and differentiation. 30, 5, p. 1097-1154 58 p.

Research output: Contribution to journal › Review article › Contributed › peer-review

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Research Portal of the TU Dresden

Prof. Dagmar Kulms
Person

Affiliations

Identification Numbers

Related content

Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity

A cytosolic mutp53(E285K) variant confers chemoresistance of malignant melanoma

RL2 Enhances the Elimination of Breast Cancer Cells by Doxorubicin

Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma

Apoptotic cell death in disease-Current understanding of the NCCD 2023