蛋白质功能预测是后基因时代研究的热点问题。
Prediction of protein function is the most challenging problem of the post-genomic era.
分子数据库很久以前就成为分子进化研究和蛋白质功能预测的一种强大工具。
Molecular databases have long since become a powerful tool for the study of molecular evolution and the prediction of protein function.
随着人类基因组计划的完成，应用生物信息学技术预测蛋白质结构与功能将成为后基因组时代的一项重要任务。
With the completion of human genome project, prediction and analysis of protein structure and function by using informatics has become one of the most important tasks of after the genome project.
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.
此小组的研究重点是蛋白质的功能和三维结构的计算分析和预测。
The primary emphasis of the group's research is on the computational analysis and prediction of the function and three-dimensional structure of proteins from their amino acid sequence.
通过互联网对测序获得的核苷酸序列进行同源性分析 ，并预测新基因编码蛋白质的结构与功能。
The positive clones were sequenced and the sequence data were analyzed using Nucleotide BLAST software of NCBI and Expert Protein Analysis System of Swiss Institute of Bioinformatics.
预测的相关蛋白质的功能对于指导实验研究乳腺癌的分子机制具有重要的价值。
The predicted finer functions are highly valuable for guiding the follow-up wet-lab re-search to study the molecular mechanism of breast cancer.
预测的相关蛋白质的功能对于指导实验研究乳腺癌的分子机制具有重要的价值。
The predicted finer functions are highly valuable for guiding the follow-up wet-lab re-search to study the molecular mechanism of breast cancer.
应用推荐