Edwards P R, Leatherbarrow R J
Affinity Sensors, Saxon Way, Bar Hill, Cambridge, CB3 8SL, United Kingdom.
Anal Biochem. 1997 Mar 1;246(1):1-6. doi: 10.1006/abio.1996.9922.
We show that initial rate analysis can be successfully applied to analyze experimental binding data generated by an optical biosensor. The initial rates of binding obtained from linear regression are concentration dependent, and plots of initial rate against ligate concentration yield a straight line that passes through the origin. The slope of this graph is the product of the association constant times the maximal binding capacity of the immobilized ligand. This latter parameter is easily obtained from a single binding curve at high ligate concentration, allowing rapid determination of the association rate constant. The association rate constant obtained in this manner is found to be in good agreement with that obtained by the more customary method of nonlinear regression analysis of the entire binding profile. Initial rate analysis is more simple than fitting the full association profile and needs less data collection time. It also requires fewer assumptions about the functional form of the association profile. This can be advantageous when fitting biosensor-derived data, which often show complex association kinetics. Furthermore, it avoids the potential complication of second-order kinetics which may be found at low ligate concentrations with high-affinity interactions.
我们表明,初始速率分析能够成功应用于分析光学生物传感器产生的实验结合数据。通过线性回归获得的结合初始速率与浓度相关,并且初始速率相对于配体浓度的作图会得到一条过原点的直线。该图的斜率是缔合常数与固定化配体最大结合容量的乘积。后一个参数可从高浓度配体下的单一结合曲线轻松获得,从而能够快速测定缔合速率常数。以这种方式获得的缔合速率常数与通过对整个结合曲线进行更常规的非线性回归分析方法得到的结果高度一致。初始速率分析比拟合完整的缔合曲线更简单,所需的数据收集时间更少。它对缔合曲线的函数形式所做的假设也更少。在拟合生物传感器产生的数据时,这可能具有优势,因为这些数据常常呈现出复杂的缔合动力学。此外,它避免了在低配体浓度下高亲和力相互作用可能出现的二级动力学的潜在复杂性。