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搜索蛋白质结构数据库已经成熟。

Searching protein structure databases has come of age.

作者信息

Holm L, Sander C

机构信息

Protein Design Group, European Molecular Biology Laboratory, Heidelberg, Germany.

出版信息

Proteins. 1994 Jul;19(3):165-73. doi: 10.1002/prot.340190302.

Abstract

The number of protein structures known in atomic detail has increased from one in 1960 (Kendrew, J.C., Strandberg, B.E., Hart, R.G., Davies, D.R., Phillips, D.C., Shore, V.C. Nature (London) 185:422-427, 1960) to more than 1000 in 1994. The rate at which new structures are being published exceeds one a day as a result of recent advances in protein engineering, crystallography, and spectroscopy. More and more frequently, a newly determined structure is similar in fold to a known one, even when no sequence similarity is detectable. A new generation of computer algorithms has now been developed that allows routine comparison of a protein structure with the database of all known structures. Such structure database searches are already used daily and they are beginning to rival sequence database searches as a tool for discovering biologically interesting relationships.

摘要

已知原子细节的蛋白质结构数量已从1960年的1个(肯德鲁,J.C.,斯特兰德伯格,B.E.,哈特,R.G.,戴维斯,D.R.,菲利普斯,D.C.,肖尔,V.C.《自然》(伦敦)185:422 - 427,1960)增加到1994年的1000多个。由于蛋白质工程、晶体学和光谱学的最新进展,新结构的发表速度超过每天1个。越来越频繁地,即使在检测不到序列相似性的情况下,新确定的结构在折叠方式上也与已知结构相似。现在已经开发出新一代计算机算法,能够将蛋白质结构与所有已知结构的数据库进行常规比较。这种结构数据库搜索已经每天都在使用,并且作为发现生物学上有趣关系的工具,它们开始与序列数据库搜索相媲美。

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