Myszka D G
Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USA.
J Mol Recognit. 1999 Sep-Oct;12(5):279-84. doi: 10.1002/(SICI)1099-1352(199909/10)12:5<279::AID-JMR473>3.0.CO;2-3.
The quality of optical biosensor data must be improved in order to characterize the mechanism and rate constants associated with molecular interactions. Many of the artifacts associated with binding data can be minimized or eliminated by designing the experiment properly, collecting data under optimum conditions and processing the data with reference surfaces. It is possible to globally fit high-quality biosensor data with simple bimolecular reaction models, which validates the technology as a biophysical tool for interaction analysis.
为了表征与分子相互作用相关的机制和速率常数,必须提高光学生物传感器数据的质量。通过合理设计实验、在最佳条件下收集数据以及使用参考表面处理数据,可以将许多与结合数据相关的伪像降至最低或消除。使用简单的双分子反应模型对高质量的生物传感器数据进行全局拟合是可能的,这验证了该技术作为一种用于相互作用分析的生物物理工具的有效性。