Leveraging enzyme structure-function relationships for functional inference and experimental design: The structure-function linkage database

被引:128
作者
Pegg, SCH
Brown, SD
Ojha, S
Seffernick, J
Meng, EC
Morris, JH
Chang, PJ
Huang, CC
Ferrin, TE
Babbitt, PC
机构
[1] Univ Calif San Francisco, Dept Biopharmaceut Sci, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
[3] Univ Minnesota, Dept Biochem Mol Biol & Biophys, Biol Proc Technol Inst, St Paul, MN 55108 USA
[4] Univ Minnesota, Ctr Microbial & Plant Genom, St Paul, MN 55108 USA
关键词
D O I
10.1021/bi052101l
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The study of mechanistically diverse enzyme superfamilies-collections of enzymes that perform different overall reactions but share both a common fold and a distinct mechanistic step performed by key conserved residues-helps elucidate the structure-function relationships of enzymes. We have developed a resource, the structure-function linkage database (SFLD), to analyze these structure-function relationships. Unique to the SFLD is its hierarchical classification scheme based on linking the specific partial reactions (or other chemical capabilities) that are conserved at the superfamily, subgroup, and family levels with the conserved structural elements that mediate them. We present the results of analyses using the SFLD in correcting misannotations, guiding protein engineering experiments, and elucidating the function of recently solved enzyme structures from the structural genomics initiative. The SFLD is freely accessible at http://sfld.rbvi.ucsf.edu.
引用
收藏
页码:2545 / 2555
页数:11
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