中文摘要：

热稳定性相关区域的识别是蛋白耐热性改造的关键问题之一。本文以枯草杆菌蛋白（SUBTILISIN BPN）为研究对象，通过枯草杆菌蛋白同源家族序列的统计耦联分析，提取枯草杆菌蛋白中的保守残基和强耦联残基，并运用分子动力学模拟方法，提取枯草杆菌蛋白表面候选突变残基，综合上述结果，提出了枯草杆菌蛋白表面耐热性改造关键区域的识别方法，并利用该方法确定了枯草杆菌蛋白表面的10个耐热性改造关键区域。将该结果与已有的耐热性突变实验资料进行了对比，发现其中的7个预测区域与实验结果吻合。结果验证了该方法可以较好地识别蛋白耐热性改造关键区域。

英文摘要：

The identification of the relevant thermostable region is one of the key issues in protein thermostability transformation. In this paper, we used SUBTILISIN BPN as our research object, and the conservative and strong coupling residues were extracted by the statistical coupling analysis （SCA） of homologous sequences of SUBTILI- SIN BPN family. We also extracted SUBTILIS1N BPN surface candidate mutant residues by the way of molecular dynamics simulation. Combination of the above results, the recognition method of critical regions of the thermosta- bility transformation on SUBTILISIN BPN surface was proposed. This method determined the SUBTILISIN BPN of 10 critical areas on surface about the thermostability transformation, and compared the results with existing experimental data of thermostable mutations , found that 7 of the forecast areas coincided with the experimental results. The results verified that our method can recognise the protein thermostable transformation critical areas well.