Floudas C A
Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544-5263, USA.
Biotechnol Bioeng. 2007 Jun 1;97(2):207-13. doi: 10.1002/bit.21411.
This review presents the advances in protein structure prediction from the computational methods perspective. The approaches are classified into four major categories: comparative modeling, fold recognition, first principles methods that employ database information, and first principles methods without database information. Important advances along with current limitations and challenges are presented.
本综述从计算方法的角度介绍了蛋白质结构预测的进展。这些方法分为四大类：比较建模、折叠识别、利用数据库信息的第一性原理方法以及不利用数据库信息的第一性原理方法。文中介绍了重要进展以及当前的局限性和挑战。
