Backbone dependency further improves side chain prediction efficiency in the Energy-based Conformer Library (bEBL).
Backbone dependency further improves side chain prediction efficiency in the Energy-based Conformer Library (bEBL).
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DOI:
10.1002/prot.24685
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发表时间:
2014-11
影响因子:
2.9
通讯作者:
Senes, Alessandro
中科院分区:
文献类型:
--
作者:
Subramaniam, Sabareesh;Senes, Alessandro
Side chain optimization is an integral component of many protein modeling applications. In these applications, the conformational freedom of the side chains is often explored using libraries of discrete, frequently occurring conformations. Because side chain optimization can pose a computationally intensive combinatorial problem, the nature of these conformer libraries is important for ensuring efficiency and accuracy in side chain prediction. We have previously developed an innovative method to create a conformer library with enhanced performance. The Energy-Based Library (EBL) was obtained by analyzing the energetic interactions between conformers and a large number of natural protein environments from crystal structures. This process guided the selection of conformers with the highest propensity to fit into spaces that should accommodate a side chain. Because the method requires a large crystallographic data-set, the EBL was created in a backbone-independent fashion. However, it is well established that side chain conformation is strongly dependent on the local backbone geometry, and that backbone-dependent libraries are more efficient in side chain optimization. Here we present a backbone-dependent version of the EBL, the bEBL, whose conformers are independently sorted for each populated region of Ramachandran space. The resulting library closely mirrors the local backbone-dependent distribution of side chain conformation. Compared to the EBL, we demonstrate that the bEBL uses fewer conformers to produce similar side chain prediction outcomes, thus further improving performance with respect to the already efficient backbone-independent version of the library.
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影响因子:
2.9
作者:
Krivov, Georgii G.;Shapovalov, Maxim V.;Dunbrack, Roland L., Jr.
通讯作者:
Dunbrack, Roland L., Jr.
DOI:
10.1016/s0969-2126(99)80176-2
发表时间:
1999-09-15
期刊:
STRUCTURE WITH FOLDING & DESIGN
影响因子:
--
作者:
Gordon, DB;Mayo, SL
通讯作者:
Mayo, SL
影响因子:
3
作者:
BROOKS, BR;BRUCCOLERI, RE;KARPLUS, M
通讯作者:
KARPLUS, M
影响因子:
14.9
作者:
Kim, DE;Chivian, D;Baker, D
通讯作者:
Baker, D
DOI:
10.1107/s0907444909042073
发表时间:
2010-01
期刊:
Acta crystallographica. Section D, Biological crystallography
影响因子:
--
作者:
Chen VB;Arendall WB 3rd;Headd JJ;Keedy DA;Immormino RM;Kapral GJ;Murray LW;Richardson JS;Richardson DC
通讯作者:
Richardson DC