Published data on Factor C activity at various LPS and Lipid A concentrations (Nakamura et al. in Eur J Biochem 176:89, 1988; Kobayashi et al. in J Biol Chem 37:25987, 2014) were rearranged to show that Factor C exhibited its maximum activity at a specific concentration of LPS. A statistical model was proposed for examining whether a single LPS molecule binding activates Factor C (monomeric activation) or dimerization of Factor C is necessary for the activation (dimeric activation). In the monomeric activation model the plots of the relative activity of Factor C against the molar ratio of LPS to Factor C were different from those in the published data. The plots in the dimeric activation model lie on a bell-shaped curve, whatever the Factor C concentration, matching the published data and indicating the appropriateness of that model. We suggest that Factor C is activated by multiple molecular interactions of Factor C with LPS aggregates on which it dimerises and that this explains why larger aggregates are less effective at activating Factor C than smaller ones.

中文翻译：

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通过结合LPS聚集体激活因子C的统计模型。

重新排列了有关在各种LPS和脂质A浓度下因子C活性的公开数据（Nakamura等人在Eur J Biochem 176：89，1988; Kobayashi等人在J Biol Chem 37：25987，2014）重新排列以显示因子C表现出在特定的LPS浓度下其最大活性。提出了一个统计模型来检查单个LPS分子结合是否激活因子C（单体激活）或因子C的二聚化对于激活（二聚体激活）是否必要。在单体活化模型中，因子C相对于LPS与因子C摩尔比的相对活性图与公开数据不同。无论因子C浓度如何，二聚体激活模型中的曲线都位于钟形曲线上，与已发布的数据相匹配并表明该模型的适用性。