计算机科学
比较基因组学
结构基因组学
蛋白质结构预测
计算生物学
模板
回路建模
序列(生物学)
管道(软件)
序列比对
基因组
蛋白质结构
基因组学
自由序列分析
过程(计算)
数据挖掘
生物
遗传学
肽序列
基因
生物化学
操作系统
程序设计语言
作者
Marc A. Martı́-Renom,Ashley C. Stuart,András Fiser,Roberto Sánchez,Francisco Melo,Andrej Šali
标识
DOI:10.1146/annurev.biophys.29.1.291
摘要
Comparative modeling predicts the three-dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. The number of protein sequences that can be modeled and the accuracy of the predictions are increasing steadily because of the growth in the number of known protein structures and because of the improvements in the modeling software. Further advances are necessary in recognizing weak sequence-structure similarities, aligning sequences with structures, modeling of rigid body shifts, distortions, loops and side chains, as well as detecting errors in a model. Despite these problems, it is currently possible to model with useful accuracy significant parts of approximately one third of all known protein sequences. The use of individual comparative models in biology is already rewarding and increasingly widespread. A major new challenge for comparative modeling is the integration of it with the torrents of data from genome sequencing projects as well as from functional and structural genomics. In particular, there is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes. Such large-scale modeling is likely to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.
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