Lee Julian, Kim Seung-Yeon, Joo Keehyoung, Kim Ilsoo, Lee Jooyoung
School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea.
Proteins. 2004 Sep 1;56(4):704-14. doi: 10.1002/prot.20150.
A novel method for ab initio prediction of protein tertiary structures, PROFESY (PROFile Enumerating SYstem), is proposed. This method utilizes the secondary structure prediction information of a query sequence and the fragment assembly procedure based on global optimization. Fifteen-residue-long fragment libraries are constructed using the secondary structure prediction method PREDICT, and fragments in these libraries are assembled to generate full-length chains of a query protein. Tertiary structures of 50 to 100 conformations are obtained by minimizing an energy function for proteins, using the conformational space annealing method that enables one to sample diverse low-lying local minima of the energy. We apply PROFESY for benchmark tests to proteins with known structures to demonstrate its feasibility. In addition, we participated in CASP5 and applied PROFESY to four new-fold targets for blind prediction. The results are quite promising, despite the fact that PROFESY was in its early stages of development. In particular, PROFESY successfully provided us the best model-one structure for the target T0161.
提出了一种用于从头预测蛋白质三级结构的新方法——PROFESY(PROFile Enumerating SYstem)。该方法利用查询序列的二级结构预测信息以及基于全局优化的片段组装过程。使用二级结构预测方法PREDICT构建15个残基长的片段库,并将这些库中的片段进行组装以生成查询蛋白质的全长链。通过使用构象空间退火方法最小化蛋白质的能量函数,获得50至100个构象的三级结构,该方法能够对能量的各种低能量局部最小值进行采样。我们将PROFESY应用于具有已知结构的蛋白质的基准测试,以证明其可行性。此外,我们参加了CASP5并将PROFESY应用于四个新折叠靶点进行盲预测。尽管PROFESY处于早期开发阶段,但结果很有前景。特别是,PROFESY成功地为目标T0161提供了最佳模型——一种结构。