A merge-decoupling dead end elimination algorithm for protein side-chain conformation

被引:2
作者
Chong, Ket Fah [1 ]
Leong, Hon Wai [1 ]
机构
[1] Natl Univ Singapore, Dept Comp Sci, Singapore 117548, Singapore
关键词
protein side-chain conformation prediction; SCCP; dead end elimination; DEE; merge-decoupling algorithm; data mining; bioinformatics;
D O I
10.1504/IJDMB.2007.012966
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Dead End Elimination (DEE) is a technique for eliminating rotamers that can not exist in any global minimum energy configuration for the protein side chain conformation problem. A popular method is Simple Goldstein DEE (SG-DEE) which is fast and eliminates rotamers by considering single residues for possible elimination. We present a Merge-Decoupling DEE (MD-DEE) that further reduces the number of rotamers after SG-DEE. MD-DEE works by forming residue-pairs but is fast and, like SG-DEE, is practical even for large proteins. Our experiments show that MD-DEE achieves further reduction in residue elimination (up to 25%) after SG-DEE.
引用
收藏
页码:372 / 388
页数:17
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