  | ZAGARE, A., SAUTER, T., BARMPA, K., PIRES PACHECO, M. I., KRÜGER, R., SCHWAMBORN, J. C., & SARAIVA, C. (17 April 2025). MIRO1 mutation leads to metabolic maladaptation resulting in Parkinson's disease-associated dopaminergic neuron loss. NPJ Systems Biology and Applications, 11 (1), 37. doi:10.1038/s41540-025-00509-x  Peer Reviewed verified by ORBi |
 | Ector, C., DIDIER, J., DE LANDTSHEER, S., Nordentoft, M. S., Schmal, C., Keilholz, U., Herzel, H., Kramer, A., SAUTER, T., & Granada, A. E. (April 2025). Circadian clock features define novel subtypes among breast cancer cells and shape drug sensitivity. Molecular Systems Biology, 21 (4), 315 - 340. doi:10.1038/s44320-025-00092-7 Peer Reviewed verified by ORBi |
 | Li, X., ESCOFFIER, H., SAUTER, T., & Tavassoli, M. (15 January 2025). Targeting Fibroblast-Derived Interleukin 6: A Strategy to Overcome Epithelial-Mesenchymal Transition and Radioresistance in Head and Neck Cancer. Cancers, 17 (2), 267. doi:10.3390/cancers17020267 Peer Reviewed verified by ORBi |
 | HELGUETA ROMERO, S., HEURTAUX, T., SCIORTINO, A., GUI, Y., OHNMACHT, J., MENCKE, P., BOUSSAAD, I., HALDER, R., GARCIA, P., KRÜGER, R., MITTELBRONN, M., BUTTINI, M., SAUTER, T., & SINKKONEN, L. (04 January 2025). Park7 deletion leads to sex-specific transcriptome changes involving NRF2-CYP1B1 axis in mouse midbrain astrocytes. NPJ Parkinson's Disease, 11 (1), 8. doi:10.1038/s41531-024-00851-7 Peer Reviewed verified by ORBi |
 | BADKAS, A., Pacheco, M. P., & SAUTER, T. (December 2024). Network modeling approaches for metabolic diseases and diabetes. Current Opinion in Systems Biology, 39, 100530. doi:10.1016/j.coisb.2024.100530 Editorial reviewed |
 | DE LANDTSHEER, S., BADKAS, A., Kulms, D., & SAUTER, T. (23 September 2024). Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity. Briefings in Bioinformatics, 25 (6). doi:10.1093/bib/bbae567 Peer Reviewed verified by ORBi |
 | Ector, C., Schmal, C., DIDIER, J., DE LANDTSHEER, S., Finger, A.-M., Müller-Marquardt, F., Schulte, J. H., SAUTER, T., Keilholz, U., Herzel, H., Kramer, A., & Granada, A. E. (22 August 2024). Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping. Nature Communications, 15 (1), 7205. doi:10.1038/s41467-024-51611-3 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 |
 | Gomez Ramos, B., Ohnmacht, J., de Lange, N., VALCESCHINI, E., GINOLHAC, A., CATILLON, M., FERRANTE, D., Rakovic, A., HALDER, R., Massart, F., ARENA, G., ANTONY, P., BOLOGNIN, S., Klein, C., KRAUSE, R., Schulz, M. H., SAUTER, T., Krüger, R., & SINKKONEN, L. (19 December 2023). Multiomics analysis identifies novel facilitators of human dopaminergic neuron differentiation. EMBO Reports, 25 (1), 254-285. doi:10.1038/s44319-023-00024-2 Peer Reviewed verified by ORBi |
 | GAVRIIL, M., PROIETTO, M., PACZIA, N., GINOLHAC, A., HALDER, R., VALCESCHINI, E., SAUTER, T., LINSTER, C., & SINKKONEN, L. (November 2023). 2-Hydroxyglutarate modulates histone methylation at specific loci and alters gene expression via Rph1 inhibition. Life Science Alliance, 7 (2), 202302333. doi:10.26508/lsa.202302333 Peer Reviewed verified by ORBi |
 | de Sande, A. H., Turunen, T., Bouvy-Liivrand, M., Örd, T., Palani, S., Tundidor-Centeno, C., Liljenbäck, H., Virta, J., Smålander, O.-P., SINKKONEN, L., SAUTER, T., Roivainen, A., Lönnberg, T., Kaikkonen, M. U., & Heinäniemi, M. (2023). Cell-type-specific characterization of miRNA gene dynamics in immune cell subpopulations during aging and atherosclerosis disease development at single-cell resolution. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58864. doi:10.1101/2023.10.09.561173 |
 | 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 |
 | Frias, A., Di Leo, L., Antoranz, A., Nazerai, L., Carretta, M., Bodemeyer, V., Pagliuca, C., Dahl, C., Claps, G., Mandelli, G. E., Andhari, M. D., PIRES PACHECO, M. I., SAUTER, T., Robert, C., Guldberg, P., Madsen, D. H., Cecconi, F., Bosisio, F. M., & De Zio, D. (2023). Ambra1 modulates the tumor immune microenvironment and response to PD-1 blockade in melanoma. Journal for ImmunoTherapy of Cancer, 11 (3). doi:10.1136/jitc-2022-006389 Peer Reviewed verified by ORBi |
 | BADKAS, A., DE LANDTSHEER, S., & SAUTER, T. (2023). Expanding the Disease Network of Glioblastoma Multiforme via Topological Analysis. International Journal of Molecular Sciences, 24 (4). doi:10.3390/ijms24043075 Peer Reviewed verified by ORBi |
  | SAUTER, T., & Albrecht, M. (2023). Introduction to Systems Biology - Workbook for Flipped-classroom Teaching. Cambridge, United Kingdom: OpenBookPublishers. doi:10.11647/obp.0291 |
 | Gergei, I., Pfau, T., Krämer, B. K., SCHNEIDER, J., NGUYEN, T.-P., März, W., & SAUTER, T. (2023). Cardiovascular risk prediction - a systems medicine approach. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54719. doi:10.1101/2023.03.16.23287363 |
 | PIRES PACHECO, M. I., Ji, J., Prohaska, T., MOSCARDO GARCIA, M., & SAUTER, T. (2022). scFASTCORMICS: A Contextualization Algorithm to Reconstruct Metabolic Multi-Cell Population Models from Single-Cell RNAseq Data. Metabolites. 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. |
 | MOSCARDO GARCIA, M., PIRES PACHECO, M. I., & SAUTER, T. (2022). Integration of external biomass reactions into existing metabolic models. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52225. |
 | TERNES, D., TSENKOVA, M., POZDEEV, V., MEYERS, M., KONCINA, E., ATATRI, S., SCHMITZ, M., KARTA, J., SCHMOETTEN, M., Heinken, A., RODRIGUEZ, F., Delbrouck, C., GAIGNEAUX, A., GINOLHAC, A., Dan Nguyen, T. T., Grandmougin, L., Frachet-Bour, A., Martin-Gallausiaux, C., PIRES PACHECO, M. I., ... LETELLIER, E. (2022). The gut microbial metabolite formate exacerbates colorectal cancer progression. Nature Metabolism. doi:10.1038/s42255-022-00558-0 Peer Reviewed verified by ORBi |
 | Del Mistro, G., Riemann, S., Schindler, S., Beissert, S., Kontermann, R. E., GINOLHAC, A., Halder, R., PRESTA, L., SINKKONEN, L., SAUTER, T., & Kulms, D. (2022). Focal adhesion kinase plays a dual role in TRAIL resistance and metastatic outgrowth of malignant melanoma. Cell Death and Disease. doi:10.1038/s41419-022-04502-8 Peer Reviewed verified by ORBi |
 | Albrecht, M., Kogan, Y., Kulms, D., & SAUTER, T. (2022). Mechanistically Coupled PK (MCPK) Model to Describe Enzyme Induction and Occupancy Dependent DDI of Dabrafenib Metabolism. Pharmaceutics, 14 (2). doi:10.3390/pharmaceutics14020310 Peer Reviewed verified by ORBi |
 | 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 |
 | BADKAS, A., DE LANDTSHEER, S., & SAUTER, T. (2022). Construction and contextualization approaches for protein-protein interaction networks. Computational and Structural Biotechnology Journal, 20, 3280-3290. doi:10.1016/j.csbj.2022.06.040 Peer Reviewed verified by ORBi |
 | 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 |
 | Nantajit, D., PRESTA, L., SAUTER, T., & Tavassoli, M. (2022). EGFR-induced suppression of HPV E6/E7 is mediated by microRNA-9-5p silencing of BRD4 protein in HPV-positive head and neck squamous cell carcinoma. Cell death & disease, 13 (11), 921. doi:10.1038/s41419-022-05269-8 Peer reviewed |
 | 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 |
 | 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 |
 | Gui, Y., GRZYB, K., THOMAS, M., OHNMACHT, J., GARCIA, P., BUTTINI, M., SKUPIN, A., SAUTER, T., & SINKKONEN, L. (2021). Single‑nuclei chromatin profiling of ventral midbrain reveals cell identity transcription factors and cell‑type‑specific gene regulatory variation. Epigenetics and Chromatin. doi:10.1186/s13072-021-00418-3 Peer Reviewed verified by ORBi |
 | Rufo, N., Korovesis, D., Van Eygen, S., Derua, R., Garg, A. D., Finotello, F., Vara-Perez, M., Rožanc, J., Dewaele, M., de Witte, P. A., Alexopoulos, L. G., Janssens, S., SINKKONEN, L., SAUTER, T., Verhelst, S. H. L., & Agostinis, P. (2021). Stress-induced inflammation evoked by immunogenic cell death is blunted by the IRE1α kinase inhibitor KIRA6 through HSP60 targeting. Cell Death and Differentiation. doi:10.1038/s41418-021-00853-5 Peer Reviewed verified by ORBi |
 | Frangez, Z., GERARD, D., He, Z., GAVRIIL, M., Fernández-Marrero, Y., Seyed Jafari, M., Hunger, R., LUCARELLI, P., Yousefi, S., SAUTER, T., SINKKONEN, L., & Simon, H.-U. (2021). ATG5 and ATG7 Expression Levels Are Reduced in Cutaneous Melanoma and Regulated by NRF1. Frontiers in Oncology. doi:10.3389/fonc.2021.721624 Peer Reviewed verified by ORBi |
 | THOMAS, M., Gui, Y., GARCIA, P., Karout, M., GOMEZ RAMOS, B., JÄGER, C., Michelucci, A., GAIGNEAUX, A., Kollmus, H., Centeno, A., Schughart, K., Balling, R., Mittelbronn, M., Nadeau, J. H., SAUTER, T., Williams, R. W., SINKKONEN, L., & BUTTINI, M. (2021). Quantitative trait locus mapping identifies a locus linked to striatal dopamine and points to collagen IV alpha-6 chain as a novel regulator of striatal axonal branching in mice. Genes, Brain, and Behavior. doi:10.1111/gbb.12769 Peer Reviewed verified by ORBi |
 | Machado, R. A. C., Stojevski, D., DE LANDTSHEER, S., LUCARELLI, P., Baron, A., SAUTER, T., & SCHAFFNER-RECKINGER, E. (22 February 2021). L-plastin Ser5 phosphorylation is modulated by the PI3K/SGK pathway and promotes breast cancer cell invasiveness. Cell Communication and Signaling, 19 (22), 1-22. doi:10.21203/rs.3.rs-276404/v1 Peer Reviewed verified by ORBi |
 | Di Leo, L., Bodemeyer, V., Bosisio, F. M., Claps, G., Carretta, M., Rizza, S., Faienza, F., Frias, A., Khan, S., Bordi, M., PIRES PACHECO, M. I., Di Martino, J., Bravo-Cordero, J. J., Daniel, C. J., Sears, R. C., Donia, M., Madsen, D. H., Guldberg, P., Filomeni, G., ... Cecconi, F. (2021). Loss of Ambra1 promotes melanoma growth and invasion. Nature Communications, 12 (1), 2550. doi:10.1038/s41467-021-22772-2 Peer Reviewed verified by ORBi |
 | MARTINS CONDE, P., Pfau, T., PIRES PACHECO, M. I., & SAUTER, T. (2021). A dynamic multi-tissue model to study human metabolism. NPJ Systems Biology and Applications, 7 (1), 5. doi:10.1038/s41540-020-00159-1 Peer Reviewed verified by ORBi |
 | SCHOMMER, C., SAUTER, T., PANG, J., SATAGOPAM, V., DESPOTOVIC, V., & GONCALVES, J. (2021). Proceedings of the AI4Health Lecture Series (2021) [Paper presentation]. AI4Health Lectures Series (2021), Campus Belval, University of Luxembourg, Luxembourg. |
 | Walter, J., BOLOGNIN, S., Poovathingal, S., MAGNI, S., GERARD, D., ANTONY, P., NICKELS, S. L., Salamanca, L., Berger, E., SMITS, L., GRZYB, K., Perfeito, R., Hoel, F., Qing, X., OHNMACHT, J., Bertacchi, M., Jarazo, J., Ignac, T., Monzel, A., ... SCHWAMBORN, J. C. (2021). The Parkinson’s-disease-associated mutation LRRK2-G2019S alters dopaminergic differentiation dynamics via NR2F1. Cell Reports. doi:10.1016/j.celrep.2021.109864 Peer Reviewed verified by ORBi |
 | Pfau, T., Galhardo, M., Lin, J., & SAUTER, T. (2021). IDARE2-Simultaneous Visualisation of Multiomics Data in Cytoscape. Metabolites, 11 (5). doi:10.3390/metabo11050300 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 |
 | MOSCARDO GARCIA, M., PIRES PACHECO, M. I., BINTENER, T. J. R., PRESTA, L., & SAUTER, T. (2021). Importance of the biomass formulation for cancer metabolic modeling and drug prediction. iScience, 24 (10), 103110. doi:10.1016/j.isci.2021.103110 Peer Reviewed verified by ORBi |
 | BADKAS, A., NGUYEN, T.-P., Caberlotto, L., SCHNEIDER, J., DE LANDTSHEER, S., & SAUTER, T. (2021). Degree Adjusted Large-Scale Network Analysis Reveals Novel Putative Metabolic Disease Genes. Biology, 10 (2). doi:10.3390/biology10020107 Peer Reviewed verified by ORBi |
 | GUI, Y., Thomas, M. H., Garcia, P., Karout, M., HALDER, R., MICHELUCCI, A., Kollmus, H., Zhou, C., Melmed, S., Schughart, K., BALLING, R., MITTELBRONN, M., Nadeau, J. H., Williams, R. W., SAUTER, T., BUTTINI, M., & SINKKONEN, L. (2020). Pituitary Tumor Transforming Gene 1 Orchestrates Gene Regulatory Variation in Mouse Ventral Midbrain During Aging. Frontiers in Genetics. doi:10.3389/fgene.2020.566734 Peer Reviewed verified by ORBi |
 | SAUTER, T., & PIRES PACHECO, M. I. (2020). Testing informed SIR based epidemiological model for COVID-19 in Luxembourg. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/43970. doi:10.1101/2020.07.21.20159046 |
 | BINTENER, T. J. R., PIRES PACHECO, M. I., & SAUTER, T. (2020). Towards the routine use of in silico screenings for drug discovery using metabolic modelling. Biochemical Society Transactions. doi:10.1042/BST20190867 Peer Reviewed verified by ORBi |
 | Muller, I., Strozyk, E., Schindler, S., Beissert, S., Oo, H. Z., SAUTER, T., Lucarelli, P., Raeth, S., Hausser, A., Al Nakouzi, N., Fazli, L., Gleave, M. E., Liu, H., Simon, H.-U., Walczak, H., Green, D. R., Bartek, J., Daugaard, M., & Kulms, D. (2020). Cancer Cells Employ Nuclear Caspase-8 to Overcome the p53-Dependent G2/M Checkpoint through Cleavage of USP28. Molecular Cell. doi:10.1016/j.molcel.2019.12.023 Peer Reviewed verified by ORBi |
 | Albrecht, M., Lucarelli, P., Kulms, D., & SAUTER, T. (2020). Computational models of melanoma. Theoretical biology & medical modelling, 17 (1), 8. doi:10.1186/s12976-020-00126-7 Peer reviewed |
 | MARTINS CONDE, P., SAUTER, T., & NGUYEN, T.-P. (2020). An efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis. Scientific Reports, 10 (1), 20613. doi:10.1038/s41598-020-77367-6 Peer Reviewed verified by ORBi |
 | BADKAS, A., De Landtsheer, S., & SAUTER, T. (2020). Topological network measures for drug repositioning. Briefings in Bioinformatics. doi:10.1093/bib/bbaa357 Peer Reviewed verified by ORBi |
 | SCHOMMER, C., SAUTER, T., PANG, J., & ABANKWA, D. (2020). Proceedings of the AI4Health Lecture Series (2020) [Paper presentation]. AI4Health Lectures Series (2020), Campus Belval, University of Luxembourg, Luxembourg. |
 | Klaus, C., Hansen, J. N., GINOLHAC, A., GERARD, D., Gnanapragassam, V. S., Horstkorte, R., Rossdam, C., Buettner, F. F. R., SAUTER, T., SINKKONEN, L., Neumann, H., & Linnartz-Gerlach, B. (2020). Reduced sialylation triggers homeostatic synapse and neuronal loss in middle-aged mice. Neurobiology of Aging. doi:10.1016/j.neurobiolaging.2020.01.008 Peer Reviewed verified by ORBi |
PACHECO, M., BINTENER, T. J. R., & SAUTER, T. (2019). Towards the Integration of Metabolic Network Modelling and Machine Learning for the Routine Analysis of High-Throughput Patient Data. In Automated Reasoning for Systems Biology and Medicine. Springer. doi:10.1007/978-3-030-17297-8_15 |
 | BECKER, J. C., GERARD, D., GINOLHAC, A., SAUTER, T., & SINKKONEN, L. (2019). Identification of genes under dynamic post-transcriptional regulation from time-series epigenomic data. Epigenomics. doi:10.2217/epi-2018-0084 Peer Reviewed verified by ORBi |
 | PACHECO, M., BINTENER, T. J. R., TERNES, D., Kulms, D., HAAN, S., LETELLIER, E., & SAUTER, T. (May 2019). Identifying and targeting cancer-specific metabolism with network-based drug target prediction. EBioMedicine, 43 (May 2019), 98-106. doi:10.1016/j.ebiom.2019.04.046 Peer Reviewed verified by ORBi |
 | GREENHALGH, K., RAMIRO GARCIA, J., Heinken, Ullmann, P., BINTENER, T. J. R., PACHECO, M., Baginska, J., SHAH, P., FRACHET BOUR, A., HALDER, R., FRITZ, J., SAUTER, T., Thiele, I., HAAN, S., LETELLIER, E., & WILMES, P. (30 April 2019). Integrated In Vitro and In Silico Modeling Delineates the Molecular Effects of a Synbiotic Regimen on Colorectal-Cancer-Derived Cells. Cell Reports, 27, 1621–1632. doi:10.1016/j.celrep.2019.04.001 Peer Reviewed verified by ORBi |
 | PACHECO, M., BINTENER, T. J. R., & SAUTER, T. (2019). Towards the network-based prediction of repurposed drugs using patient-specific metabolic models. EBioMedicine. doi:10.1016/j.ebiom.2019.04.017 |
 | HEIRENDT, L., Arreckx, S., PFAU, T., Mendoza, S. N., Richelle, A., Heinken, A. K., Haraldsdottir, H. S., Wachowiak, J., Keating, S. M., VLASOV, V., Magnusdottir, S., Ng, C. Y., Preciat, G., ZAGARE, A., Chan, S. H. J., Aurich, M. K., Clancy, C. M., Modamio, J., Sauls, J. T., ... Fleming, R. M. T. (2019). Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0. Nature Protocols, 14 (3), 639-702. doi:10.1038/s41596-018-0098-2 Peer Reviewed verified by ORBi |
 | CECCHINI, V. F., NGUYEN, T.-P., PFAU, T., DE LANDTSHEER, S., & SAUTER, T. (2019). An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction. In V. F. CECCHINI, An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction (1st ed, pp. 5). Da Nang, Vietnam: DA NANG PUBLISHING HOUSE. Peer reviewed |
 | Alsahafi, E., Begg, K., Amelio, I., Raulf, N., LUCARELLI, P., SAUTER, T., & Tavassoli, M. (2019). Clinical update on head and neck cancer: molecular biology and ongoing challenges. Cell Death and Disease, 10 (8), 540. doi:10.1038/s41419-019-1769-9 Peer Reviewed verified by ORBi |
 | NICKELS, S., Walter, J., BOLOGNIN, S., GERARD, D., Jäger, C., Qing, X., Tisserand, J., JARAZO, J., Hemmer, K., Harms, A., HALDER, R., Lucarelli, P., Berger, E., ANTONY, P., GLAAB, E., Hankemeier, T., Klein, C., SAUTER, T., SINKKONEN, L., & SCHWAMBORN, J. C. (2019). Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients. Parkinsonism and Related Disorders. doi:10.1016/j.parkreldis.2019.09.018 Peer Reviewed verified by ORBi |
 | GERARD, D., Schmidt, F., GINOLHAC, A., SCHMITZ, M., HALDER, R., Ebert, P., Schulz, M., SAUTER, T., & SINKKONEN, L. (2018). Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency. Nucleic Acids Research. doi:10.1093/nar/gky1240 Peer Reviewed verified by ORBi |
 | Del Mistro, G., LUCARELLI, P., Muller, I., DE LANDTSHEER, S., Zinoveva, A., Hutt, M., Siegemund, M., Kontermann, R. E., Beissert, S., SAUTER, T., & Kulms, D. (November 2018). Systemic network analysis identifies XIAP and IkappaBalpha as potential drug targets in TRAIL resistant BRAF mutated melanoma. NPJ Systems Biology and Applications, 4, 39. doi:10.1038/s41540-018-0075-y Peer Reviewed verified by ORBi |
 | Rozanc, J., Sakellaropoulos, T., Antoranz, A., Gutta, C., Podder, B., Vetma, V., Rufo, N., Agostinis, P., Pliaka, V., SAUTER, T., Kulms, D., Rehm, M., & Alexopoulos, L. G. (2018). Phosphoprotein patterns predict trametinib responsiveness and optimal trametinib sensitisation strategies in melanoma. Cell Death and Differentiation. doi:10.1038/s41418-018-0210-8 Peer Reviewed verified by ORBi |
 | Seip, K., Jorgensen, K., Haselager, M. V., ALBRECHT, M., Haugen, M. H., Egeland, E. V., LUCARELLI, P., Engebraaten, O., SAUTER, T., Maelandsmo, G. M., & Prasmickaite, L. (2018). "Stroma-induced phenotypic plasticity offers phenotype-specific targeting to improve melanoma treatment". Cancer Letters. doi:10.1016/j.canlet.2018.09.023 Peer Reviewed verified by ORBi |
 | De Landtsheer, S., LUCARELLI, P., & SAUTER, T. (2018). Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways. Frontiers in Physiology, 9, 550. doi:10.3389/fphys.2018.00550 Peer Reviewed verified by ORBi |
 | PACHECO, M., & SAUTER, T. (2018). The FASTCORE Family: For the Fast Reconstruction of Compact Context-Specific Metabolic Networks Models. In M. Fondi, Metabolic Network Reconstruction and Modeling. Springer. Peer reviewed |
 | Raulf, N., LUCARELLI, P., Thavaraj, S., Brown, S., Vicencio, J. M., SAUTER, T., & Tavassoli, M. (2018). Annexin A1 regulates EGFR activity and alters EGFR-containing tumour-derived exosomes in head and neck cancers. European Journal of Cancer, 102, 52-68. doi:10.1016/j.ejca.2018.07.123 Peer Reviewed verified by ORBi |
 | PACHECO, M., & SAUTER, T. (2018). The FASTCORE Family: For the Fast Reconstruction of Compact Context-Specific Metabolic Networks Models. Methods in Molecular Biology, (1716), 101-110. doi:10.1007/978-1-4939-7528-0_4 Peer reviewed |
 | LUCARELLI, P., DE LANDTSHEER, S., & SAUTER, T. (2017). Systembasierte Analyse von Wirkstoffresistenzen bei Melanom. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/33864. |
 | DE LANDTSHEER, S., TRAIRATPHISAN, P., LUCARELLI, P., & SAUTER, T. (2017). FALCON: A Toolbox for the Fast Contextualisation of Logical Networks. Bioinformatics. doi:10.1093/bioinformatics/btx380 Peer reviewed |
 | ALBRECHT, M., Sciumè, G., LUCARELLI, P., & SAUTER, T. (12 October 2016). Thermodynamically constrained averaging theory for cancer growth modelling. IFAC-PapersOnLine, 49 (26), 289-294. doi:10.1016/j.ifacol.2016.12.141 Peer Reviewed verified by ORBi |
 | PACHECO, M., PFAU, T., & SAUTER, T. (2016). Benchmarking procedures for high-throughput context specific reconstruction algorithms. Frontiers in Physiology. doi:10.3389/fphys.2015.00410 Peer Reviewed verified by ORBi |
 | MARTINS CONDE, P., SAUTER, T., & PFAU, T. (2016). Constraint based modelling going multicellular. Frontiers in Molecular Biosciences, 3 (3). doi:10.3389/fmolb.2016.00003 Peer Reviewed verified by ORBi |
 | LOMMEL, M., TRAIRATPHISAN, P., Gäbler, K., LAURINI, C., Muller, A., Kaoma, T., Vallar, L., SAUTER, T., & SCHAFFNER, E. (2016). L-plastin Ser5 phosphorylation in breast cancer cells and in vitro is mediated by RSK downstream of the ERK/MAPK pathway. FASEB Journal. doi:10.1096/fj.15-276311 Peer Reviewed verified by ORBi |
 | TRAIRATPHISAN, P., WIESINGER, M., BAHLAWANE, C., HAAN, S., & SAUTER, T. (2016). A Probabilistic Boolean Network Approach for the Analysis of Cancer-Specific Signalling: A Case Study of Deregulated PDGF Signalling in GIST. PLoS ONE, 11 (5), 0156223. doi:10.1371/journal.pone.0156223 Peer Reviewed verified by ORBi |
 | PACHECO, M., JOHN, E.* , Kaoma, T., Heinäniemi, M., Nicot, N., Vallar, L., BUEB, J.-L., SINKKONEN, L., & SAUTER, T. (19 October 2015). Integrated metabolic modelling reveals cell-type specific epigenetic control points of the macrophage metabolic network. BMC Genomics, 16 (809). doi:10.1186/s12864-015-1984-4 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | GALHARDO, M. S., Berninger, P., NGUYEN, T.-P., SAUTER, T., & SINKKONEN, L. (03 September 2015). Cell type-selective disease-association of genes under high regulatory load. Nucleic Acids Research, 43 (18), 8839-8855. doi:10.1093/nar/gkv863 Peer Reviewed verified by ORBi |
 | DOROSZ, S. A., GINOLHAC, A., Kähne, T., Naumann, M., SAUTER, T., SALSMANN, A., & BUEB, J.-L. (2015). Role of Calprotectin as a Modulator of the IL27-Mediated Proinflammatory Effect on Endothelial Cells. Mediators of Inflammation, 2015, 1-16. doi:10.1155/2015/737310 Peer Reviewed verified by ORBi |
 | Makadia, H. K., Anderson, W. D., Fey, D., SAUTER, T., Schwaber, J. S., & Vadigepalli, R. (2015). Multiscale model of dynamic neuromodulation integrating neuropeptide-induced signaling pathway activity with membrane electrophysiology. Biophysical Journal, 108 (1), 211-23. doi:10.1016/j.bpj.2014.11.1851 Peer Reviewed verified by ORBi |
 | ROUME, H., BUSCHART, A., MULLER, E., MAY, P., SATAGOPAM, V., LACZNY, C. C., NARAYANASAMY, S., LEBRUN, L., Hoopmann, M., Schupp, J., Gillece, J., Hicks, N., Engelthaler, D., SAUTER, T., Keim, P., Moritz, R., & WILMES, P. (2015). Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks. Biofilms and Microbiomes, 1 (15007). doi:10.1038/npjbiofilms.2015.7 Peer Reviewed verified by ORBi |
 | HILLJE, A.-L., Beckmann, E., PAVLOU, M. A., Jäger, C., PACHECO, M., SAUTER, T., SCHWAMBORN, J. C., & Lewejohann, L. (2015). The neural stem cell fate determinant TRIM32 regulates complex behavioral traits. Frontiers in Cellular Neuroscience. doi:10.3389/fncel.2015.00075 Peer Reviewed verified by ORBi |
 | PFAU, T., PACHECO, M., & SAUTER, T. (2015). Towards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyond. Briefings in Bioinformatics. doi:10.1093/bib/bbv100 Peer Reviewed verified by ORBi |
 | HAAN, S., BAHLAWANE, C., WANG, J., Nazarov, P. V., Muller, A., Eulenfeld, R., HAAN, C., ROLVERING, C., Vallar, L., SATAGOPAM, V., SAUTER, T., & WIESINGER, M. (2015). The oncogenic FIP1L1-PDGFRalpha fusion protein displays skewed signaling properties compared to its wild-type PDGFRalpha counterpart. JAK-STAT, 4 (1), 1062596. doi:10.1080/21623996.2015.1062596 Peer reviewed |
 | BAHLAWANE, C., Eulenfeld, R., WIESINGER, M., WANG, J., Muller, A., GIROD, A., Nazarov, P. V., Felsch, K., Vallar, L., SAUTER, T., SATAGOPAM, V., & HAAN, S. (2015). Constitutive activation of oncogenic PDGFRalpha-mutant proteins occurring in GIST patients induces receptor mislocalisation and alters PDGFRalpha signalling characteristics. Cell Communication and Signaling, 13, 21. doi:10.1186/s12964-015-0096-8 Peer Reviewed verified by ORBi |
 | GALHARDO, M. S., SINKKONEN, L., Berninger, P., LIN, J., SAUTER, T., & Heinäniemi, M. (December 2014). ChIP-seq profiling of the active chromatin marker H3K4me3 and PPARγ, CEBPα and LXR target genes in human SGBS adipocytes. Genomics Data, 2, 230-236. doi:10.1016/j.gdata.2014.07.002 Peer reviewed |
 | GALHARDO, M. S., SINKKONEN, L., Berninger, P., LIN, J., SAUTER, T., & HEINÄNIEMI, M. (December 2014). Transcriptomics profiling of human SGBS adipogenesis. Genomics Data, 2, 246-248. doi:10.1016/j.gdata.2014.07.004 Peer Reviewed verified by ORBi |
 | TRAIRATPHISAN, P., MIZERA, A., PANG, J., TANTAR, A.-A., & SAUTER, T. (01 July 2014). optPBN: An Optimisation Toolbox for Probabilistic Boolean Networks. PLoS ONE, 9 (7), 98001 (1-15. doi:10.1371/journal.pone.0098001 Peer Reviewed verified by ORBi |
 | LIIVRAND, M., HEINÄNIEMI, M., JOHN, E., SCHNEIDER, J., SAUTER, T., & SINKKONEN, L. (16 January 2014). Combinatorial regulation of lipoprotein lipase by microRNAs during mouse adipogenesis. RNA Biology, 11 (1), 76-91. doi:10.4161/rna.27655 Peer Reviewed verified by ORBi |
 | Konrath, F., Witt, J., SAUTER, T., & Kulms, D. (2014). Identification of New IkappaBalpha Complexes by an Iterative Experimental and Mathematical Modeling Approach. PLoS Computational Biology, 10 (3), 1003528. doi:10.1371/journal.pcbi.1003528 Peer Reviewed verified by ORBi |
 | Ederer, M., Steinsiek, S., Stagge, S., Rolfe, M., Ter Beek, A., Knies, D., Teixeira de Mattos, M., SAUTER, T., Green, J., Poole, R., Bettenbrock, K., & Sawodny, O. (2014). A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen. Frontiers in Microbiology, 5 (124). doi:10.3389/fmicb.2014.00124 Peer Reviewed verified by ORBi |
 | Henkel, S. G., Beek, A. T., Steinsiek, S., Stagge, S., Bettenbrock, K., de Mattos, M. J. T., SAUTER, T., Sawodny, O., & Ederer, M. (2014). Basic Regulatory Principles of Escherichia coli's Electron Transport Chain for Varying Oxygen Conditions. PLoS ONE, 9 (9), 107640. doi:10.1371/journal.pone.0107640 Peer Reviewed verified by ORBi |
 | VLASSIS, N., PACHECO, M., & SAUTER, T. (January 2014). Fast reconstruction of compact context-specific metabolic network models. PLoS Computational Biology, 10 (1), 1003424. doi:10.1371/journal.pcbi.1003424 Peer Reviewed verified by ORBi |
 | GALHARDO, M. S.* , SINKKONEN, L.* , Berninger, P., LIN, J., SAUTER, T., & HEINÄNIEMI, M. (2013). Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network. Nucleic Acids Research. doi:10.1093/nar/gkt989 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | TRAIRATPHISAN, P., MIZERA, A., PANG, J., TANTAR, A.-A., SCHNEIDER, J., & SAUTER, T. (01 July 2013). Recent development and biomedical applications of probabilistic Boolean networks. Cell Communication and Signaling, 11 (46). doi:10.1186/1478-811X-11-46 Peer Reviewed verified by ORBi |
 | MIZERA, A., PANG, J., SAUTER, T., & TRAIRATPHISAN, P. (2013). Mathematical modelling of the Platelet-Derived Growth Factor (PDGF) signalling pathway. In Proceedings of 4th Workshop on Computational Models for Cell Processes (CompMod'13) (pp. 35). |
 | BAUMURATOVA, T., Dobre, S., Bastogne, T., & SAUTER, T. (2013). Switch of Sensitivity Dynamics Revealed with DyGloSA Toolbox for Dynamical Global Sensitivity Analysis as an Early Warning for System's Critical Transition. PLoS ONE, 8 (12), 82973. doi:10.1371/journal.pone.0082973 Peer Reviewed verified by ORBi |
 | VLASSIS, N., PACHECO, M., & SAUTER, T. (2013). Fastcore: An algorithm for fast reconstruction of context-specific metabolic network models. In Proc. 8th BeNeLux Bioinformatics Conference. Peer reviewed |
VLASSIS, N., PACHECO, M., & SAUTER, T. (2013). Fast reconstruction of compact context-specific metabolic network models. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/11095. |
 | MIZERA, A., PANG, J., SAUTER, T., & TRAIRATPHISAN, P. (2013). A balancing act: Parameter estimation for biological models with steady-state measurements. In Proceedings of 11th Conference on Computational Methods in Systems Biology (CMSB'13) (pp. 253-254). Springer. Peer reviewed |
 | Rolfe, M., Ocone, A., Stapleton, M., Hall, S., Trotter, E., Poole, R., Sanguinetti, G., Green, J., SysMO-SUMO consortium, & SAUTER, T. (Other coll.). (July 2012). Systems analysis of transcription factor activities in environments with stable and dynamic oxygen concentrations. Open Biology, 2 (7), 120091. doi:10.1098/rsob.120091 Peer Reviewed verified by ORBi |
 | Witt, J., Konrath, F., Sawodny, O., Ederer, M., Kulms, D., & SAUTER, T. (2012). Analysing the role of UVB-induced translational inhibition and PP2Ac deactivation in NF-kappaB signalling using a minimal mathematical model. PLoS ONE, 7 (7), 40274. doi:10.1371/journal.pone.0040274 Peer Reviewed verified by ORBi |
 | YUAN, Q., TRAIRATPHISAN, P., PANG, J., MAUW, S., WIESINGER, M., & SAUTER, T. (2012). Probabilistic model checking of the PDGF signaling pathway. Transactions on Computational Systems Biology, XIV, 151-180. Peer reviewed |
 | YUAN, Q., PANG, J., MAUW, S., TRAIRATPHISAN, P., WIESINGER, M., & SAUTER, T. (2011). A study of the PDGF signaling pathway with PRISM. Proceedings of the 3rd Workshop on Computational Models for Cell Processes, EPTCS 67, 65-81. Peer reviewed |
 | Henkel, S., Nagele, T., Hormiller, I., SAUTER, T., Sawodny, O., Ederer, M., & Heyer, A. G. (2011). A systems biology approach to analyse leaf carbohydrate metabolism in Arabidopsis thaliana. EURASIP Journal on Bioinformatics and Systems Biology, 2011 (1), 2. Peer Reviewed verified by ORBi |
 | Witt, J., Barisic, S., Sawodny, O., Ederer, M., Kulms, D., & SAUTER, T. (2011). Modeling time delay in the NFkappaB signaling pathway following low dose IL-1 stimulation. EURASIP Journal on Bioinformatics and Systems Biology, 2011 (1), 3. Peer Reviewed verified by ORBi |
 | Nagele, T., Henkel, S., Hormiller, I., SAUTER, T., Sawodny, O., Ederer, M., & Heyer, A. G. (2010). Mathematical modeling of the central carbohydrate metabolism in Arabidopsis reveals a substantial regulatory influence of vacuolar invertase on whole plant carbon metabolism. Plant Physiology, 153 (1), 260-72. doi:10.1104/pp.110.154443 Peer Reviewed verified by ORBi |
 | Schlatter, R., Schmich, K., Avalos Vizcarra, I., Scheurich, P., SAUTER, T., Borner, C., Ederer, M., Merfort, I., & Sawodny, O. (2009). ON/OFF and beyond--a boolean model of apoptosis. PLoS Computational Biology, 5 (12), 1000595. doi:10.1371/journal.pcbi.1000595 Peer Reviewed verified by ORBi |
 | Witt, J., Barisic, S., Schumann, E., Allgower, F., Sawodny, O., SAUTER, T., & Kulms, D. (2009). Mechanism of PP2A-mediated IKK beta dephosphorylation: a systems biological approach. BMC Systems Biology, 3, 71. doi:10.1186/1752-0509-3-71 Peer Reviewed verified by ORBi |
 | Schlatter, R., Conzelmann, H., Gilles, E. D., Sawodny, O., & SAUTER, T. (2009). Analysis of an apoptotic core model focused on experimental design using artificial data. IET Systems Biology, 3 (4), 255-65. doi:10.1049/iet-syb.2008.0138 Peer Reviewed verified by ORBi |
 | Feuer, R., Ederer, M., Gilles, E. D., Sprenger, G., Sawodny, O., & SAUTER, T. (2008). Analyse der evolutiven Adaptation am Beispiel einer pyruvat-auxotrophen Escherichia coli-Mutante. Automatisierungstechnik, 56, 257-268. doi:10.1524/auto.2008.0704 Peer reviewed |
Witt, J., Husser, S., Kulms, D., Barisic, S., Sawodny, O., & SAUTER, T. (2007). Modeling and Analysis of UVB Influence on IL-1 induced NF-kappaB Signaling. In Proceedings of the FOSBE, September 9-12, Stuttgart, Germany. Peer reviewed |
Bettenbrock, K., SAUTER, T., Jahreis, K., Kremling, A., Lengeler, J. W., & Gilles, E.-D. (2007). Correlation between growth rates, EIIACrr phosphorylation, and intracellular cyclic AMP levels in Escherichia coli K-12. Journal of Bacteriology, 189 (19), 6891-900. doi:10.1128/JB.00819-07 Peer Reviewed verified by ORBi |
Feuer, R., Ederer, M., Trachtmann, N., SAUTER, T., Gilles, E. D., Sprenger, G., & Sawodny, O. (2007). Methods for analysis of evolutive adaptation of E. coli. In Proceedings of the SICE Annual Conference, September 17-20, 2007 Kagawa University, Takamatsu City, Japan. Peer reviewed |
Eissing, T., Bullinger, E., Waldherr, S., Gondro, C., Sawodny, O., Allgöwer, F., Scheurich, P., & SAUTER, T. (2006). Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation. In Proceedings of IEEE International Conference on Control Applications (CCA), October 4-6, 2006, Technische Universität München, Germany. Peer reviewed |
Conzelmann, H., Saez-Rodriguez, J., SAUTER, T., Kholodenko, B. N., & Gilles, E. D. (2006). A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks. BMC Bioinformatics, 7, 34. doi:10.1186/1471-2105-7-34 Peer Reviewed verified by ORBi |
Bettenbrock, K., Fischer, S., Kremling, A., Jahreis, K., SAUTER, T., & Gilles, E.-D. (2006). A quantitative approach to catabolite repression in Escherichia coli. Journal of Biological Chemistry, 281 (5), 2578-84. doi:10.1074/jbc.M508090200 Peer Reviewed verified by ORBi |
Hao, H., Zak, D. E., SAUTER, T., Schwaber, J., & Ogunnaike, B. A. (2006). Modeling the VPAC2-activated cAMP/PKA signaling pathway: from receptor to circadian clock gene induction. Biophysical Journal, 90 (5), 1560-71. doi:10.1529/biophysj.105.065250 Peer Reviewed verified by ORBi |
Conzelmann, H., Saez-Rodriguez, J., SAUTER, T., Bullinger, E., Allgower, F., & Gilles, E. D. (2004). Reduction of mathematical models of signal transduction networks: simulation-based approach applied to EGF receptor signalling. Systems biology, 1 (1), 159-69. doi:10.1049/sb:20045011 Peer reviewed |
Kremling, A., Fischer, S., SAUTER, T., Bettenbrock, K., & Gilles, E. D. (2004). Time hierarchies in the Escherichia coli carbohydrate uptake and metabolism. Bio Systems, 73 (1), 57-71. doi:10.1016/j.biosystems.2003.09.001 Peer reviewed |
Kremling, A., Bettenbrock, K., Fischer, S., Ginkel, M., SAUTER, T., & Gilles, E. D. (2004). Towards whole cell "in silico" models for cellular systems: model set-up and model validation. In Lecture Notes in Control and Information Sciences: Proceedings of the first multidisciplinary international symposium on Positive Systems (pp. 95-102). Springer. Peer reviewed |
SAUTER, T., & Gilles, E. D. (2004). Modeling and experimental validation of the signal transduction via the Escherichia coli sucrose phospho transferase system. Journal of Biotechnology, 110 (2), 181-99. doi:10.1016/j.jbiotec.2004.02.002 Peer reviewed |
Kremling, A., Fischer, S., Gadkar, K., Doyle, F. J., SAUTER, T., Bullinger, E., Allgower, F., & Gilles, E. D. (2004). A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. Genome Research, 14 (9), 1773-85. doi:10.1101/gr.1226004 Peer Reviewed verified by ORBi |
SAUTER, T., & Bullinger, E. (2004). Detailed Mathematical Modeling of Metabolic and Regulatory Networks. BIOforum Europe, 02, 62-64. |
 | SAUTER, T. (2003). Die bakterielle Signalverarbeitung am Beispiel des Sucrose Phosphotransferasesystems in Escherichia coli : Modellierung und experimentelle Überprüfung [Doctoral thesis, Universität Stuttgart]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/2093 |
Ederer, M., SAUTER, T., Bullinger, E., Gilles, E. D., & Allgöwer, F. (2003). An approach for dividing models of biological reaction networks into functional units. Simulation, 79, 703-716. doi:10.1177/0037549703040940 Peer reviewed |
Kremling, A., SAUTER, T., Bullinger, E., Ederer, M., Allgöwer, F., & Gilles, E. D. (2001). Biosystems Engineering: Applying methods from systems theory to biological systems. In Proceedings of the 2nd International Conference on Systems Biology 4.-7.11.2001, Pasadena. Peer reviewed |
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