Suppr超能文献

采用ICM方法进行同源建模。

Homology modeling by the ICM method.

作者信息

Cardozo T, Totrov M, Abagyan R

机构信息

Skirball Institute of Biomolecular Medicine, Biochemistry Department, NYU Medical Center, New York 10016, USA.

出版信息

Proteins. 1995 Nov;23(3):403-14. doi: 10.1002/prot.340230314.

Abstract

Five models have been built by the ICM method for the Comparative Modeling section of the Meeting on the Critical Assessment of Techniques for Protein Structure Prediction. The targets have homologous proteins with known three-dimensional structure with sequence identity ranging from 25 to 77%. After alignment of the target sequence with the related three-dimensional structure, the modeling procedure consists of two subproblems: side-chain prediction and loop prediction. The ICM method approaches these problems with the following steps: (1) a starting model is created based on the homologous structure with the conserved portion fixed and the nonconserved portion having standard covalent geometry and free torsion angles; (2) the Biased Probability Monte Carlo (BPMC) procedure is applied to search the subspaces of either all the nonconservative side-chain torsion angles or torsion angles in a loop backbone and surrounding side chains. A special algorithm was designed to generate low-energy loop deformations. The BPMC procedure globally optimizes the energy function consisting of ECEPP/3 and solvation energy terms. Comparison of the predictions with the NMR or crystallographic solutions reveals a high proportion of correctly predicted side chains. The loops were not correctly predicted because imprinted distortions of the backbone increased the energy of the near-native conformation and thus made the solution unrecognizable. Interestingly, the energy terms were found to be reliable and the sampling of conformational space sufficient. The implications of this finding for the strategies of future comparative modeling are discussed.

摘要

针对蛋白质结构预测技术关键评估会议的比较建模部分,已采用ICM方法构建了五个模型。目标序列具有已知三维结构的同源蛋白,序列同一性范围为25%至77%。将目标序列与相关三维结构进行比对后,建模过程包括两个子问题:侧链预测和环预测。ICM方法通过以下步骤解决这些问题:(1)基于同源结构创建起始模型,保守部分固定,非保守部分具有标准共价几何结构和自由扭转角;(2)应用偏置概率蒙特卡罗(BPMC)程序搜索所有非保守侧链扭转角或环骨架及周围侧链中扭转角的子空间。设计了一种特殊算法来生成低能环变形。BPMC程序全局优化由ECEPP/3和溶剂化能项组成的能量函数。将预测结果与NMR或晶体学解决方案进行比较,结果显示正确预测的侧链比例很高。环没有被正确预测,因为主链的印记畸变增加了近天然构象的能量,从而使解决方案无法识别。有趣的是,发现能量项是可靠的,构象空间的采样也足够。讨论了这一发现对未来比较建模策略的影响。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验