对蛋白质结构数据库的冗余数据进行分析研究表明，目前国际数据库中的蛋白质的二级结构存在误差，误差率为25%左右。
The redundancy in the database of protein structure is analyzed, that the protein secondary structure of the international database error is around 25%.
蛋白质数据库(PDB.org)是一个有关生物分子(尤其是蛋白质)结构数据的全球档案库。
The protein data Bank (PDB.org) is a worldwide archive of structural data about biological molecules, mostly proteins.
本文中，我们利用数据挖掘得到的统计信息数据库对蛋白质的二级结构进行了预测。
However this process is quite tough. Here our statistical information database by data mining is used for predicting protein secondary structure.
相似性搜索是解决重要的生物学问题，例如数据库扫描、进化研究、基因预测和蛋白质结构预测的一种强大的方法。
Similarity searches are a powerful method for solving important biological problems such as database scanning, evolutionary studies, gene prediction, and protein structure prediction.
目的：建立通用的蛋白质、核酸序列信息数据类型和数据库结构，为建立专用的生物医学信息数据库奠定基础。
Objective: To creat a heart disorder (heart failure) related gene database, whose data are retrieved from Internet resources to lay a foundation for developing professional biomedical databases.
利用距离约束的数据库搜索方法和接触势能分析技术，提出了一种用来模建蛋白质结构环区的分子模建方法。
A molecular modeling scheme using distance-restraint - based database search and contact potential analysis is proposed for modeling loop region of protein.
这里描述了一些主要的蛋白质家族和域数据库，连同分析域结构的基于网络的工具。
Some of the main protein family and domain databases are described here, along with their Web-based tools for analyzing domain architectures.
该框架以新的结果可视化和面向蛋白质数据库搜索的结构域和功能预测的整合为特色。
The framework features novel result visualizations and integration of domain and functional predictions for protein database searches.
蛋白质数据库是全球唯一一个贮存三维生物巨分子结构的处理与分布数据的储藏库。
The Protein data Bank is the single worldwide repository for the processing and distribution of 3-d biological macromolecular structure data.
在一个蛋白质的晶体结构和序列已知情况下，PCDDB条目将分别链接到合适的PDB和序列数据库文件。
In the case of a protein whose crystal structure and sequence are known, the PCDDB entry will be linked to the appropriate PDB and sequence data bank files, respectively.
建立了一个新的包括2208个非冗余蛋白质链的数据库，蛋白质结构分辨率高于2.5(？)，序列相似性小于40%。
A database is constructed, which contained 2208 protein chains with higher resolution than 2.5 (?) and lower identity than 40%.
当前，至少80%的主要蛋白质序列数据库能够使用这些工具进行分类，因此提供了大量数据开始分析蛋白质域结构。
Currently at least 80% of the main protein sequence databases can be classified using these tools, thus providing a large data set to work from for analyzing protein domain architectures.
数据库的分类分别为蛋白质组注释库、蛋白质环分类、 蛋白质 结构域预测和水稻矮小和抗病毒库。
The sorts of the databases are respectively proteome annotation base, protein loop classification, protein domain prediction and rice dwarf phytoreovirus bank.
EBI的下的蛋白质组分析数据库，提供已经测定了全序列基因组的器官的已经预测过结构的蛋白质组的统计和比较分析。
The proteome Analysis Database at EBI provides statistical and comparative analyses of the predicted proteomes of organisms for which there are fully-sequenced genomes.
EBI的下的蛋白质组分析数据库，提供已经测定了全序列基因组的器官的已经预测过结构的蛋白质组的统计和比较分析。
The proteome Analysis Database at EBI provides statistical and comparative analyses of the predicted proteomes of organisms for which there are fully-sequenced genomes.
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