摘要
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３Ｄｐｒｏｆｉｌｅ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．
The methods and progress ofknowledge-based protein three-dimensionalstructure prediction are mainly introduced. Todate, the methods of knowledge-based structureprediction can be grouped into two categories.One is homologous protein modeling, which isrelative mature and can give reliable results, butit is restricted to modeling of the target sequencethat shares a high sequence identity with thehomologous proteins. The other method, inverseprotein folding, can be emPOlyed to predict thestructure of protein with limited sequencehomology, which mainly includes 3D Profile andpotential-based functions, and gives the toPOlogyof the target protein.
出处
《生物化学与生物物理进展》
SCIE
CAS
CSCD
北大核心
1996年第5期422-426,共5页
Progress In Biochemistry and Biophysics
关键词
蛋白
结构
预测
three-dimensional structure prediction, homologous protein modeling, inverse protein folding, sequence structure alignment
