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首页> 外文期刊>Journal of magnetic resonance >A Maximum Likelihood Method for Determining D_a~(PQ) and R for Sets of Dipolar Coupling Data
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A Maximum Likelihood Method for Determining D_a~(PQ) and R for Sets of Dipolar Coupling Data

机译:确定偶极耦合数据集的D_a〜(PQ)和R的最大似然法

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摘要

The algorithms available today that use dipolar coupling data for macromolecular structure determination require the independent determination of two parameters, D_a~(PQ) and R. Methods exist for obtaining these parameters when the set of dipolar couplings available is large and the orientations of the interatomic vectors on which they report is isotropically distributed. These methods are less satisfactory when the set is small and anisotropic. Described here is a maximum likelihood method that extracts accurate values for D_a~(PQ) and R from small, anisotropic data sets. Also demonstrated is a procedure for estimating the errors associated with the values of D_a~(PQ) and R obtained and for incorporating these errors into refinement protocols.
机译:使用偶极耦合数据确定大分子结构的当今可用算法需要独立确定两个参数D_a〜(PQ)和R。当可用的偶极耦合集很大且原子间的取向时,存在用于获取这些参数的方法。他们报告的向量是各向同性的。当集合较小且各向异性时,这些方法不太令人满意。这里描述的是一种最大似然方法,该方法从较小的各向异性数据集中提取D_a〜(PQ)和R的准确值。还演示了一种过程,该过程用于估计与获得的D_a〜(PQ)和R的值相关的误差,并将这些误差合并到优化协议中。

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