基于知识的蛋白质结构预测

介绍了近几年基于知识的蛋白质三维结构预测方法及其进展．目前，基于知识的结构预测方法主要有两类，一类是同源蛋白模建，这种技术比较成熟，模建的结果可靠性比较高，但只适用于同源性比较高的目标序列的模建；另一类方法即蛋白质逆折叠技术，主要包括3D profile方法和基于势函数的方法，给出的是目标蛋白质的空间走向，它主要可用于序列同源性比较低的蛋白质的结构预测．

Knowledge-based Protein Structure Prediction

The methods and progress of knowledge-based protein three-dimensional structure prediction are mainly introduced. To date, the methods of knowledge-based structure prediction can be grouped into two categories. One is homologous protein modeling, which is relative mature and can give reliable results, but it is restricted to modeling of the target sequence that shares a high sequence identity with thehomologous proteins. The other method, inverse protein folding, can be empolyed to predict the structure of protein with limited sequence homology, which mainly includes 3D Profile and potential-based functions, and gives the topology of the target protein.