Ishida T, Horiike K, Tojo H, Nozaki M
Department of Biochemistry, Shiga University of Medical Science, Japan.
J Theor Biol. 1988 Jan 7;130(1):49-66. doi: 10.1016/s0022-5193(88)80163-2.
We derived a general formula to analyze a binding system in which a ligand self-associates, in terms of experimentally determinable quantities, i.e. r, the average number of bound ligands per protein molecule, and Lft, the total free ligand concentration, which are expressed as a ligand monomer unit. The limiting behaviors of the Scatchard plot (r/Lft vs r plot), that is, the intercepts on the r-axis and the r/Lft-axis, and the limiting slopes, are generally given. Three models that may be encountered are considered in detail. Numerical examples are also presented to illustrate how the self-association of a ligand affects the binding curves. The ligand self-association alone can cause deviation of the profile of the binding curve (r vs Lft plot) from a hyperbola, resulting in a nonlinear Scatchard plot. Therefore, analysis of the binding data without consideration of ligand self-association may lead to erroneous conclusions as to the numbers and classes of binding sites, co-operativity among the sites and binding parameter values.
我们推导了一个通用公式,用于根据实验可测定的量,即每个蛋白质分子结合配体的平均数量r和总游离配体浓度Lft(以配体单体单位表示),来分析配体发生自缔合的结合系统。通常给出了Scatchard图(r/Lft对r作图)的极限行为,即r轴和r/Lft轴上的截距以及极限斜率。详细考虑了可能遇到的三种模型。还给出了数值示例,以说明配体的自缔合如何影响结合曲线。仅配体自缔合就可导致结合曲线(r对Lft作图)的轮廓偏离双曲线,从而产生非线性Scatchard图。因此,在不考虑配体自缔合的情况下分析结合数据,可能会在结合位点的数量和类别、位点间的协同性以及结合参数值等方面得出错误结论。