Generating properly weighted ensemble of conformations of proteins from sparse or indirect distance constraints.
Generating properly weighted ensemble of conformations of proteins from sparse or indirect distance constraints.
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DOI:
10.1063/1.2968605
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发表时间:
2008-09-07
期刊:
影响因子:
--
通讯作者:
Liang J
中科院分区:
文献类型:
--
作者:
Lin M;Lu HM;Chen R;Liang J
Inferring three-dimensional structural information of biomacromolecules such as proteins from limited experimental data is an important and challenging task. Nuclear Overhauser effect (NOE) measurements based on nucleic magnetic resonance, disulfide linking, and electron paramagnetic resonance labelling studies can all provide useful partial distance constraints characteristic of the conformations of proteins. In this study, we describe a general approach for reconstructing conformations of biomolecules that are consistent with given distance constraints. Such constraints can be in the form of upper bounds and lower bounds of distances between residue pairs, contact maps based on specific contact distance cut-off values, or indirect distance constraints such as experimental ϕ-value measurement. Our approach is based on the framework of sequential Monte Carlo method, a chain growth-based method. We have developed a novel growth potential function to guide the generation of conformations that satisfy given distance constraints. This potential function incorporates not only distance information of current residue during growth, but also distance information of future residue by introducing global distance upper bounds between residue pairs and the placement of reference points. To obtain protein conformations from indirect distance constraints in the form of experimental ϕ-values, we first generate properly weighted contact maps satisfying ϕ-value constraints, we then generate conformations from these contact maps. We show our approach can faithfully generate conformations that satisfy the given constraints, which approach the native structures when distance constraints for all residue pairs are given.
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影响因子:
2.9
作者:
JACKSON, SE;MORACCI, M;FERSHT, AR
通讯作者:
FERSHT, AR
影响因子:
2.9
作者:
Falcon, CM;Matthews, KS
通讯作者:
Matthews, KS
DOI:
10.1073/pnas.94.26.14267
发表时间:
1997-12-23
影响因子:
11.1
作者:
Cai, KW;Langen, R;Khorana, HG
通讯作者:
Khorana, HG
DOI:
10.1073/pnas.91.22.10426
发表时间:
1994-10-25
影响因子:
11.1
作者:
FERSHT, AR;ITZHAKI, LS;OTZEN, DE
通讯作者:
OTZEN, DE
影响因子:
2.9
作者:
Altenbach, C;Oh, KJ;Hubbell, WL
通讯作者:
Hubbell, WL