Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments

被引:193
|
作者
Xie, Lei [1 ]
Bourne, Philip E. [1 ,2 ]
机构
[1] Univ Calif San Diego, San Diego Supercomp Ctr, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Skaggs Sch Pharm & Pharmaceut Sci, La Jolla, CA 92093 USA
关键词
functional site; structure;
D O I
10.1073/pnas.0704422105
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Here, a scalable, accurate, reliable, and robust protein functional site comparison algorithm is presented. The key components of the algorithm consist of a reduced representation of the protein structure and a sequence order-independent profile-profile alignment (SOIPPA). We show that SOIPPA is able to detect distant evolutionary relationships in cases where both a global sequence and structure relationship remains obscure. Results suggest evolutionary relationships across several previously evolutionary distinct protein structure superfamilies. SOIPPA, along with an increased coverage of protein fold space afforded by the structural genomics initiative, can be used to further test the notion that fold space is continuous rather than discrete.
引用
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页码:5441 / 5446
页数:6
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