Simplification traps.
Ontology highlight
ABSTRACT: Unlabelled
When experiments are analyzed with simple functions, one gets simple results. A trap springs when experiments show deviations from the expected simplicity. When kinetic experiments do not follow exponential curves, they simply are not of the first or pseudofirst order. They can and have to be calculated on the base of plausible reaction schemes. When dose-response curves are analyzed with logistic functions ("4-parameter fit") and give Hill coefficients different from one, this is an experimental result stating that more than one molecule is involved in eliciting the response. If one ignores that result, one usually finds forgiving referees, but one will loose real money when one tries to develop such an unspecific compound into a drug.Electronic supplementary material
The online version of this article (doi:10.1007/s12154-011-0069-3) contains supplementary material, which is available to authorized users.
SUBMITTER: Prinz H
PROVIDER: S-EPMC3251649 | biostudies-literature | 2012 Jan
REPOSITORIES: biostudies-literature
Publications
<h4>Unlabelled</h4>When experiments are analyzed with simple functions, one gets simple results. A trap springs when experiments show deviations from the expected simplicity. When kinetic experiments do not follow exponential curves, they simply are not of the first or pseudofirst order. They can and have to be calculated on the base of plausible reaction schemes. When dose-response curves are analyzed with logistic functions ("4-parameter fit") and give Hill coefficients different from one, thi ...[more]
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