Modelle, Mechanismen, Komplexität. Zur Philosophie der Systembiologie
Zusammenfassung der Projektergebnisse
Mathematical modelling plays an increasingly important role in molecular and cell biology. In contrast to other areas, like the engineering sciences, the role of models in the life sciences is quite different. The systems under consideration are complex, their mechanisms and parameter values mostly unknown. This project focused on the role of models, and more specifically the role of abstraction for understanding and explanation. While some projects may aim for a biochemical realism of model, other models are deliberately simplistic, compared to the actual number of components involved. The same type of representation (e.g. ODEs) can thus serve very different purposes. A result of our project is the conclusion that there is a need for a model ontology that practitioners could use to explain/justify the type of model they are pursuing. Neither the biological context, nor the mathematical representation by itself can communicate the purpose of a model and its value in the process of answering biological questions. The communication between interdisciplinary teams would benefit from a philosophical perspective and model ontology.
Projektbezogene Publikationen (Auswahl)
- (2011). System approaches of Weiss and Bertalanffy and their relevance for systems biology today. Seminars Cancer Biology 21:150 -155
Drack M, Wolkenhauer O
(Siehe online unter https://doi.org/10.1016/j.semcancer.2011.05.001) - The Complexity of Cell-Biological Systems. In: Philosophy of Complex Systems Vol. 10; 345-385; Hooker CA (ed.); series: Handbook of the Philosophy of Science; North-Holland 2011. ISBN 9780444520760
Wolkenhauer O, Muir A
(Siehe online unter https://doi.org/10.1016/B978-0-444-52076-0.50013-4) - (2012). Diagrams as locality aids for explanation and model construction in cell biology. Biology and Philosophy 27; 705-721
Jones N, Wolkenhauer O
(Siehe online unter https://doi.org/10.1007/s10539-012-9311-9) - (2012). Integration in action. EMBO reports 13: 769-771
Green S, Wolkenhauer O
(Siehe online unter https://doi.org/10.1038/embor.2012.121|) - (2012). The role of theorem proving in systems biology. Journal of Theoretical Biology 300: 57-61
Wolkenhauer O, Shibata D, Mesarovic MD
(Siehe online unter https://doi.org/10.1016/j.jtbi.2011.12.023) - (2013): Interdisciplinarity as both necessity and hurdle for progress in the life sciences. In: Andersen H et al. eds. New Challenges to Philosophy of Science - The Philosophy of Science in a European perspective 4. Springer Verlag, 2013, 225-235
Wolkenhauer O, Hofmeyr J
(Siehe online unter https://doi.org/10.1007/978-94-007-5845-2_18) - (2013): The search for organizing principles as a cure against reductionism in systems medicine. FEBS Journal, 280 (23): 5938-48
Wolkenhauer O, Green S
(Siehe online unter https://doi.org/10.1111/febs.12311) - Do simple models lead to generality in ecology? Trends Ecol Evol. 2013 Oct; 28(10):578-83
Evans MR, Grimm V, Johst K, Knuuttila T, de Langhe R, Lessells CM, Merz M, O'Malley MA, Orzack SH, Weisberg M, Wilkinson DJ, Wolkenhauer O, Benton TG
(Siehe online unter https://doi.org/10.1016/j.tree.2013.05.022) - Encyclopedia of Systems Biology. Springer 2013. lSBN 9781441998620
Dubitzky W, Wolkenhauer O, Yokata H, Cho K-H (eds.)
(Siehe online unter https://dx.doi.org/10.1007/978-1-4419-9863-7) - The Role of Theory and Modelling in Medical Research. Front. Pysiol. 4:377
Wolkenhauer, O
(Siehe online unter https://dx.doi.org/10.3389/fphys.2013.00377) - Tracing organizing principles: Learning from the history of systems biology. History and Philosophy of the Life Sciences, 35 (4), 553 - 576
Green S, Wolkenhauer O
- Enabling multiscale modeling in systems medicine. Genome Medicine 2014, 6:21
Wolkenhauer O, Auffray C, Brass O, Clairambault J, Deutsch A, Drasdo D, Gervasio F, Preziosi L, et al.
(Siehe online unter https://doi.org/10.1186/gm538) - Pushing limits by embracing complexity. lET Syst Biol. 2014 Dec;8(6):244-250
Wolkenhauer, O
(Siehe online unter https://doi.org/10.1049/iet-syb.2014.0031) - Why model? Front. Physiol. 5:21
Wolkenhauer, O
(Siehe online unter https://dx.doi.org/10.3389/fphys.2014.00021) - Modelle und ihre Befragbarkeit als Grundlage biomedizinischer Erkenntnis. Erwägen-Wissen-Ethik. Vol 26 (2015)
Wolkenhauer, O
