Suppr超能文献

从蛋白质序列预测功能——瓶颈在哪里?

Predicting functions from protein sequences--where are the bottlenecks?

作者信息

Bork P, Koonin E V

机构信息

EMBL, Heidelberg, Germany.

出版信息

Nat Genet. 1998 Apr;18(4):313-8. doi: 10.1038/ng0498-313.

Abstract

The exponential growth of sequence data does not necessarily lead to an increase in knowledge about the functions of genes and their products. Prediction of function using comparative sequence analysis is extremely powerful but, if not performed appropriately, may also lead to the creation and propagation of assignment errors. While current homology detection methods can cope with the data flow, the identification, verification and annotation of functional features need to be drastically improved.

摘要

序列数据的指数增长并不一定会带来关于基因及其产物功能的知识增加。使用比较序列分析预测功能极为强大,但如果操作不当,也可能导致错误注释的产生和传播。虽然当前的同源性检测方法能够应对数据流,但功能特征的识别、验证和注释仍需大幅改进。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验