Simplification traps

Journal of Chemical Biology

Heino Prinz¹ 

[1] Max-Planck-Institut für molekulare Physiologie, Otto-Hahn-Str. 11, 44227 Dortmund, Germany

关键词: Numerical methods;    Multiexponential fits;    Dose–response curves;    4PL;    Logistic function;    Systematic deviations;   

DOI  :  10.1007/s12154-011-0069-3

学科分类：分子生物学，细胞生物学和基因

来源: Springer

【 摘 要 】

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.

【 授权许可】

Unknown