RMSD

Two considerably accurate final models were obtained with their RMSD value around 2.6 .

最终得到2个RMSD值在2.6左右，具有一定准确性的受体模型。

The classification of protein structure has four levels , RMSD , Z-Score and ISSA algorithm are applied to obtain parameters .

在对蛋白质结构进行四个层次的分类中，应用已有的RMSD、Z-Score结构比对算法和论文新提出的ISSA结构比对算法获得分类参数。

Homology models of human M3 receptor was built by homology modeling , while the reliability of the models was evaluated by their RMSD value .

采用同源模建的方法构建了人类M3受体的同源模型，通过RMSD得分值对模型进行了评价。

In addition , the results showed that EM is conducive to the scoring function to select the near-native structures with a smaller RMSD .

同时，对对接结构进行能量优化后再打分，发现EM有助于打分函数挑选到距蛋白质晶体结构主链原子的均方根偏差（RMSD）较小的近天然构象。

In addition , the cluster size , surface energy as well as the average root mean square displacement ( RMSD ) of the clusters in the intermediate regime have been investigated .

另外，计算了中介区域的团簇的尺寸、熔化温度、表面能、熵、焓等热力学量以及均方根位移（RMSD）等动力学量，为研究纳米团簇提供定量数据。

The root mean square deviations ( RMSD ) of correlation for alcohol + N , N-dimethylformamide ( DMF ) systems are less than 1 . 01 % .

对于醇与N，N-二甲基甲酰胺（DMF）体系，关联的均方根偏差小于1.01%。

Kalman-Filter-based optimal observation scheme is a Bayesian method , which improves observation locations by minimizing the expectation of the root mean square deviation ( RMSD ) of the analysis field .

最优观测方法是一种不需要直接同化观测，而通过最小化分析场误差方差理论值来选择最优观测点的方法。

The resonant peaks in the electrical impedance signals shift to lower frequency and the values of RMSD increase monotonically , when the tensile stress in the monitored specimens increases gradually .

结构所受拉应力逐渐增大时，PZT传感器电阻抗信号中各谐振峰逐渐向低频方向偏移，RMSD指数呈现单调增大的变化趋势。

The equivalent relationships of the tests were determined by equating sample , Using the cross-validation sample , the equating accuracy was evaluated by the index of Root Mean Squared Difference ( RMSD ) .

三测验的等值关系式通过等值样本来确定，而各种等值方法的等值精确性和稳健性则由交互验证样本通过RMSD指标来评估。

First , made HLA three-dimensional structure matching by molecular modeling in 26 recipient-donor pairs , and found that serious aGVHD could be predicted accurately through general RMSD which indicate structural differences between donor and recipient .

首先采用分子模拟的方法对26对脐血移植供受者进行HLA三维结构匹配，发现根据供受者的表示三维结构差异的总RMSD值可较准确地预测严重aGVHD的发生。

The comparison of measured and simulated daily evapotranspiration showed that the RMSD ( root mean standard deviation ) of model prediction to observation was 0.65 mm , and MAPD ( mean absolute percent difference ) was 14 % .

模拟与实测结果对比发现，日总蒸散量实测和模拟的根均方差（RMSD）为0.65mm，平均绝对差（MAPD）为14%；

Conclusion RMSD can be used to evaluate respiratory effort in sedative patients mechanically ventilated and the evaluating efficacy can be further improved by the application of selective least square fitting method as well as normalization of RMSD with peak airway pressures .

结论RMSD可用以无创伤性评估机械通气病人镇静时的呼吸努力程度，应用选择性最小平方拟合法，以及用气道峰值压规格化后的比率均能进一步提高其评估效率。

Testing on several real proteins from Protein Data Bank ( PDB ) shows the good results obtained with the model and method . The root mean square deviations ( RMSD ) of the predicted structures relative to the native structures range from 0.30 to 0.70 nm .

选用蛋白质数据库中的天然蛋白质作为测试靶蛋白，结果表明，采用该模型和方法取得了较好的结果，预测结构相对于天然结构的均方根偏差在0.30～0.70nm之间。

Six superimposed structures with low energy of - 302 ± 5 kJ / mol were obtained . The root mean square deviations ( rmsd ) between different structures were all less than 0 . 06 nm and the average rmsd was 0 . 043 nm .

计算所得的6个低能-302±5kJ/mol）优势构象的均方根偏差（rmsd值）均小于0.06nm，平均均方根偏差为0.043nm，从优化结构反算所得的NOE谱与实验数据相吻合。