Exploiting structural classifications for function prediction: towards a domain grammar for protein function.
Exploiting structural classifications for function prediction: towards a domain grammar for protein function.
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DOI：
10.1016/j.sbi.2009.03.009
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发表时间：
2009-06
影响因子：
6.8
通讯作者：
Orengo, Christine A.
中科院分区：
文献类型：
--
作者：
Dessailly, Benoit H.;Redfern, Oliver C.;Cuff, Alison;Orengo, Christine A.
赋予蛋白质功能的能力已经成为在分子水平上全面理解细胞机制的主要瓶颈。在这里，我们讨论的程度，结构域分类可以帮助破译蛋白质的功能和它们的序列和结构之间的复杂关系。结构分类特别有助于理解新蛋白质和功能通过进化出现的镶嵌方式。这部分是因为它们提供了可靠和具体的结构域定义，并能够检测非常遥远的结构相似性和同源性。这也是因为结构数据可以更清楚地阐明同源物的功能在进化过程中可以被修改的机制，并且出现了更广泛的功能库。
The ability to assign function to proteins has become a major bottleneck for comprehensively understanding cellular mechanisms at the molecular level. Here we discuss the extent to which structural domain classifications can help in deciphering the complex relationship between the functions of proteins and their sequences and structures. Structural classifications are particularly helpful in understanding the mosaic manner in which new proteins and functions emerge through evolution. This is partly because they provide reliable and concrete domain definitions and enable the detection of very remote structural similarities and homologies. It is also because structural data can illuminate more clearly the mechanisms by which the functions of homologues can be modified during evolution and a broader functional repertoire emerge.
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影响因子：
4.3
作者：
Chiang RA;Sali A;Babbitt PC
通讯作者：
Babbitt PC
影响因子：
7
作者：
Basu, Malay Kumar;Carmel, Liran;Koonin, Eugene V.
通讯作者：
Koonin, Eugene V.
DOI：
10.1093/bioinformatics/btn214
发表时间：
2008-07-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Capra JA;Singh M
通讯作者：
Singh M
影响因子：
5.6
作者：
Favia, Angelo D.;Nobeli, Irene;Thornton, Janet M.
通讯作者：
Thornton, Janet M.
影响因子：
14.9
作者：
Bru C;Courcelle E;Carrère S;Beausse Y;Dalmar S;Kahn D
通讯作者：
Kahn D