Systems biology and the integration of mechanistic explanation and mathematical explanation.
 Citation data:

Studies in history and philosophy of biological and biomedical sciences, ISSN: 13698486, Vol: 44, Issue: 4 Pt A, Page: 47792
 Publication Year:
 2013
 Repository URL:
 http://philsciarchive.pitt.edu/id/eprint/10077
 PMID:
 23863399
 DOI:
 10.1016/j.shpsc.2013.06.002
 Author(s):
 Publisher(s):
 Tags:
 Arts and Humanities
article description
The paper discusses how systems biology is working toward complex accounts that integrate explanation in terms of mechanisms and explanation by mathematical modelswhich some philosophers have viewed as rival models of explanation. Systems biology is an integrative approach, and it strongly relies on mathematical modeling. Philosophical accounts of mechanisms capture integrative in the sense of multilevel and multifield explanations, yet accounts of mechanistic explanation (as the analysis of a whole in terms of its structural parts and their qualitative interactions) have failed to address how a mathematical model could contribute to such explanations. I discuss how mathematical equations can be explanatorily relevant. Several cases from systems biology are discussed to illustrate the interplay between mechanistic research and mathematical modeling, and I point to questions about qualitative phenomena (rather than the explanation of quantitative details), where quantitative models are still indispensable to the explanation. Systems biology shows that a broader philosophical conception of mechanisms is needed, which takes into account functionaldynamical aspects, interaction in complex networks with feedback loops, systemwide functional properties such as distributed functionality and robustness, and a mechanism's ability to respond to perturbations (beyond its actual operation). I offer general conclusions for philosophical accounts of explanation.