Back
  1. Home
  2. Profile of Ali KISHK (Unilu)
Profil

KISHK Ali

Main Referenced Co-authors
SAUTER, Thomas  (12)
PIRES PACHECO, Maria Irene  (10)
DIDIER, Jeff  (5)
Bintener, Tamara (3)
DE LANDTSHEER, Sébastien  (3)
Main Referenced Keywords
Humans (5); frailty (3); aging (2); biomarker (2); Cancer (2);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (6)
Main Referenced Disciplines
Life sciences: Multidisciplinary, general & others (9)
Geriatrics (3)
Biochemistry, biophysics & molecular biology (1)

Publications (total 13)

The most downloaded
167 downloads
Cipriani, C., PIRES PACHECO, M. I., KISHK, A., Wachich, M., ABANKWA, D., SCHAFFNER-RECKINGER, E., & SAUTER, T. (2022). Bruceine D Identified as a Drug Candidate against Breast Cancer by a Novel Drug Selection Pipeline and Cell Viability Assay. Pharmaceuticals (Basel, Switzerland), 15 (2). doi:10.3390/ph15020179 https://hdl.handle.net/10993/50730

The most cited

26 citations (OpenAlex)

KISHK, A., PIRES PACHECO, M. I., & SAUTER, T. (2021). DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling. iScience, 24 (11), 103331. doi:10.1016/j.isci.2021.103331 https://hdl.handle.net/10993/48557

The most significant

KISHK, A., PIRES PACHECO, M. I., HEURTAUX, T., & SAUTER, T. (27 March 2024). Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas. Briefings in Bioinformatics, 25 (3). doi:10.1093/bib/bbae199
Peer Reviewed verified by ORBi

KISHK, A. (2024). Towards Effective Prediction of Repurposable Drugs Through Metabolic Modeling: Evaluation Against Approved Drugs Using Preclinical and Clinical Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61141

Bintener, T., PIRES PACHECO, M. I., PHILIPPIDOU, D., MARGUE, C., KISHK, A., Del Mistro, G., Di Leo, L., MOSCARDO GARCIA, M., HALDER, R., SINKKONEN, L., De Zio, D., KREIS, S., Kulms, D., & SAUTER, T. (26 July 2023). Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma. Cell Death and Disease, 14 (468). doi:10.1038/s41419-023-05955-1
Peer Reviewed verified by ORBi

KISHK, A., PIRES PACHECO, M. I., HEURTAUX, T., SINKKONEN, L., PANG, J., Fritah, S., NICLOU, S., & SAUTER, T. (2022). Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases. Cells, 11 (16). doi:10.3390/cells11162486
Peer Reviewed verified by ORBi

KISHK, A., PIRES PACHECO, M. I., & SAUTER, T. (2021). DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling. iScience, 24 (11), 103331. doi:10.1016/j.isci.2021.103331
Peer Reviewed verified by ORBi


DIDIER, J., Landtsheer, S. D., Pacheco, M. P., KISHK, A., SCHNEIDER, J., Goldeck, D., Pawelec, G., Spira, D., Demuth, I., & SAUTER, T. (24 September 2025). Clinical Data-Driven Classification of Pre-Frailty Reveals Sex-Specific Patterns - Data from the Berlin Aging Study II (BASE-II). Mechanisms of Ageing and Development, 228, 112114. doi:10.1016/j.mad.2025.112114
Peer Reviewed verified by ORBi

DIDIER, J., CROCE, S., BAYOUMI, S., VALCESCHINI, E., ESCOFFIER, H., GONZALEZ, E., KISHK, A., BADKAS, A., DE LANDTSHEER, S., & SAUTER, T. (01 June 2025). Challenges and opportunities in systems biology education. Endocrine-Related Cancer, 32 (6). doi:10.1530/ERC-25-0024
Peer Reviewed verified by ORBi

Di Leo, L., Pagliuca, C., KISHK, A., Rizza, S., Tsiavou, C., Pecorari, C., Dahl, C., PIRES PACHECO, M. I., Tholstrup, R., Brewer, J. R., Berico, P., Hernando, E., Cecconi, F., Ballotti, R., Bertolotto, C., Filomeni, G., Gjerstorff, M. F., SAUTER, T., Lovat, P., ... De Zio, D. (18 June 2024). AMBRA1 levels predict resistance to MAPK inhibitors in melanoma. Proceedings of the National Academy of Sciences of the United States of America, 121 (25), 2400566121. doi:10.1073/pnas.2400566121
Peer Reviewed verified by ORBi

KISHK, A., PIRES PACHECO, M. I., HEURTAUX, T., & SAUTER, T. (27 March 2024). Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas. Briefings in Bioinformatics, 25 (3). doi:10.1093/bib/bbae199
Peer Reviewed verified by ORBi

KISHK, A. (2024). Towards Effective Prediction of Repurposable Drugs Through Metabolic Modeling: Evaluation Against Approved Drugs Using Preclinical and Clinical Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/61141

Bintener, T., PIRES PACHECO, M. I., PHILIPPIDOU, D., MARGUE, C., KISHK, A., Del Mistro, G., Di Leo, L., MOSCARDO GARCIA, M., HALDER, R., SINKKONEN, L., De Zio, D., KREIS, S., Kulms, D., & SAUTER, T. (26 July 2023). Metabolic modelling-based in silico drug target prediction identifies six novel repurposable drugs for melanoma. Cell Death and Disease, 14 (468). doi:10.1038/s41419-023-05955-1
Peer Reviewed verified by ORBi

DIDIER, J., DE LANDTSHEER, S., PIRES PACHECO, M. I., KISHK, A., SCHNEIDER, J., Demuth, I., & SAUTER, T. (26 October 2022). Improving Machine Learning-based Prediction of Frailty in Elderly People with Digital Wearables : Data from the Berlin Aging Study II (BASE-II) [Poster presentation]. European Digital Medicine Conference Luxembourg 2022, Belval, Luxembourg.

DIDIER, J., DE LANDTSHEER, S., PIRES PACHECO, M. I., KISHK, A., SCHNEIDER, J., Demuth, I., & SAUTER, T. (09 October 2022). Machine learning-based prediction of frailty in elderly people : Data from the Berlin Aging Study II (BASE-II) [Poster presentation]. 21st International Conference on Systems Biology, Berlin, Germany.

SAUTER, T., Bintener, T., KISHK, A., PRESTA, L., Prohaska, T., Guignard, D., Zeng, N., Cipriani, C., Arshad, S., Pfau, T., MARTINS CONDE, P., & PIRES PACHECO, M. I. (2022). Project-based learning course on metabolic network modelling in computational systems biology. PLoS Computational Biology, 18 (1), 1009711. doi:10.1371/journal.pcbi.1009711
Peer Reviewed verified by ORBi

KISHK, A., PIRES PACHECO, M. I., HEURTAUX, T., SINKKONEN, L., PANG, J., Fritah, S., NICLOU, S., & SAUTER, T. (2022). Review of Current Human Genome-Scale Metabolic Models for Brain Cancer and Neurodegenerative Diseases. Cells, 11 (16). doi:10.3390/cells11162486
Peer Reviewed verified by ORBi

Cipriani, C., PIRES PACHECO, M. I., KISHK, A., Wachich, M., ABANKWA, D., SCHAFFNER-RECKINGER, E., & SAUTER, T. (2022). Bruceine D Identified as a Drug Candidate against Breast Cancer by a Novel Drug Selection Pipeline and Cell Viability Assay. Pharmaceuticals (Basel, Switzerland), 15 (2). doi:10.3390/ph15020179
Peer reviewed

Bintener, T., PIRES PACHECO, M. I., KISHK, A., DIDIER, J., & SAUTER, T. (2022). Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS. In Methods in Molecular Biology (pp. 221-240). Clifton, N.J., United States: Springer. doi:10.1007/978-1-0716-2513-2_17
Peer reviewed

KISHK, A., PIRES PACHECO, M. I., & SAUTER, T. (2021). DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling. iScience, 24 (11), 103331. doi:10.1016/j.isci.2021.103331
Peer Reviewed verified by ORBi

Contact ORBilu