预测蛋白质可结晶性研究进展

Progresses in predicting the crystallizability of proteins

摘要:

解析蛋白质的三维结构具有重要的生物学意义，更是蛋白质功能研究和理性药物设计的基础。目前解析蛋白质结构最重要的方法是X-射线衍射晶体学解析技术。但是运用该技术解析蛋白质结构的关键是获得高质量的蛋白质晶体。然而，据统计仅有42%的可溶纯化蛋白质能够得到晶体，即不同蛋白质的可结晶性表现不同。由于实验方法验证蛋白质的可结晶性耗时耗力，因此，有研究者运用计算机模拟的方法预测蛋白质的可结晶性，从而节省资源与成本并且提高实验的成功率。本文结合我们的研究工作，介绍了几种目前较为成功的蛋白质可结晶性预测方法及其研究途径。

Abstract:

Determination of protein 3-dimensional structure offers very important information in biology researches, especially for understanding protein functions and redundant drug design. The X-ray crystallography is still the main technique for protein structure determination. Obtaining protein crystals is an essential procedure after protein purification in this technique. However, there is only 42% of soluble purified proteins yield crystals by statistics. Experimental verification of protein crystallizability is relatively expensive and time-consuming. Thus it is desired to predict the protein crystallizability by a computational method before starting the experiment. In this paper, combined with our own efforts, some successful in silico methods to predict the protein crystallizability are reviewed.