Scientific development influences philosophical thought, and vice versa. If philosophy is to be of any use to the production, evaluation or application of biochemical knowledge, biochemistry will have to explicate its needs. This paper concentrates on the need for a philosophical analysis of methodological challenges in biochemistry, above all the problematic relation between in vitro experiments and the desire for in vivo knowledge. This problem receives much attention within biochemistry, but the focus is on practical detail. It is discussed how (...) a theoretical analysis can go beyond a naïve understanding of scientific success and failure in such cases. Several examples are presented to elucidate this issue, including the methodological implications of the precautionary principle, the possible interplay between theoretical methodology of biochemistry and the science studies, and the methodological complexities related to experimental protocol standardisation and use of instruments and kits. (shrink)

In vitro experimental approaches are of central importance to contemporary molecular and cellular biology and toxicology. However, the scientific value or impact of in vitro results depends on their relevance in vivo. In vitro effect studies address inobservable in vivo phenomena through experiments on analogous in vitro phenomena. We present a theoretical basis developed to evaluate the in vivo relevance of in vitro effect studies. As a case study, the procedure for measuring specific gene transcription in isolated cell nuclei (nuclear (...) run-off method) is analyzed It is concluded that current evidence fails to justify in vivo interpretations of nuclear run-off experiments within the framework of theoretical models of transcription, implying that quantitative in vivo interpretations are unwarranted. Qualitative interpretations of nuclear run-off experiments may be justified by inferring the best explanation, especially when significant in vitro effects follow in vivo perturbations.Elements of a general theory are proposed. It is concluded that quantitative in vivo interpretations are warranted primarily in biochemical quantitation of biomolecules, while studies on biological function should be interpreted qualitatively in terms of causal explanations. Inferences to the best explanations are strengthened through additional evidence and the creation of experimental differences (effects). (shrink)

Using the Schwarzschild calculation of the Relativistic bending of starlight near the sun as an illustration, it is shown that the relationship between theory and data requires a hierarchy of structures of different logical type. An essential feature of this hierarchy is the use of idealizations and approximate truths. On the basis of a counterfactual analysis of these concepts, it is shown that confirmation is possible even though statistical measures of goodness of fit are not satisfied. The consequences of this (...) view of confirmation and hierarchical structure for scientific realism are then considered. (shrink)