Publications of the group Biochemical Network Analysis
2024
Széliová, D., Müller, S., & Zanghellini, J. (2024). Costs of ribosomal RNA stabilization affect ribosome composition at maximum growth rate. Communications Biology, 7(1), [196]. https://doi.org/10.1038/s42003-024-05815-4
Braun, G., Schaier, M., Werner, P., Theiner, S., Zanghellini, J., Wisgrill, L., Fyhrquist, N., & Koellensperger, G. (2024). MeXpose─A Modular Imaging Pipeline for the Quantitative Assessment of Cellular Metal Bioaccumulation. JACS Au, 4(6), 2197-2210. https://doi.org/10.1021/jacsau.4c00154
Zehetner, L., Széliová, D., Kraus, B., Hernandez Bort, J. A., & Zanghellini, J. (2024). Logistic PCA explains differences between genome-scale metabolic models in terms of metabolic pathways. PLoS Computational Biology, 20(6), [e1012236]. https://doi.org/10.1371/journal.pcbi.1012236
Mildau, K., Ehlers, H., Oesterle, I., Pristner, M., Warth, B., Doppler, M., Bueschl, C., Zanghellini, J., & van der Hooft, J. J. J. (2024). Tailored Mass Spectral Data Exploration Using the SpecXplore Interactive Dashboard. Analytical Chemistry, 96(15), 5798-5806. https://doi.org/10.1021/acs.analchem.3c04444
Predl, M., Mießkes, M., Rattei, T., & Zanghellini, J. (2024). PyCoMo: a python package for community metabolic model creation and analysis. Bioinformatics (Oxford, England), 40(4), [btae153]. https://doi.org/10.1093/bioinformatics/btae153
Coltman, B. L., Rebnegger, C., Gasser, B., & Zanghellini, J. (2024). Characterising the metabolic rewiring of extremely slow growing Komagataella phaffii. Microbial Biotechnology, 17(1), [e14386]. https://doi.org/10.1111/1751-7915.14386
2023
Gotsmy, M., Strobl, F., Weiß, F., Gruber, P., Kraus, B., Mairhofer, J., & Zanghellini, J. (2023). Sulfate limitation increases specific plasmid DNA yield and productivity in E. coli fed-batch processes. Microbial Cell Factories, 22(1), [242]. https://doi.org/10.1186/s12934-023-02248-2
Zehetner, L., Széliová, D., Kraus, B., Graninger, M., Zanghellini, J., & Hernandez Bort, J. A. (2023). Optimizing VLP production in gene therapy: Opportunities and challenges for in silico modeling. Biotechnology Journal, 18(7), [2200636]. https://doi.org/10.1002/biot.202200636
Buchner, B., Clement, T. J., de Groot, D. H., & Zanghellini, J. (2023). ecmtool: fast and memory-efficient enumeration of elementary conversion modes. Bioinformatics (Oxford, England), 39(3), [btad095]. https://doi.org/10.1093/bioinformatics/btad095
Schaier, M., Theiner, S., Baier, D., Braun, G., Berger, W., & Koellensperger, G. (2023). Multiparametric Tissue Characterization Utilizing the Cellular Metallome and Immuno-Mass Spectrometry Imaging. JACS Au, 3(2), 419-428. https://doi.org/10.1021/jacsau.2c00571