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Interatomic Distances Chi-Squared Test

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DataCite Commons2025-06-01 更新2024-07-27 收录
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Models <i>in silico</i> were developed using Molecular Modelling Pro Plus, version 6.22, and ChemSite, version 5.10, produced by ChemSW (Accelrys Inc., San Diego, USA), as described in <i>Methods</i>. For EPL001’s <sub>9</sub>KEFNNI<sub>14</sub>, nine atoms were selected from side chains and two from the peptide backbone, thus: a = nitrogen in the side-chain of K9; b = delta carbon in E; c = hydroxyl oxygen in the side-chain of E; d = beta carbon in F; e = gamma carbon of F; f = peptide bond carbon of I; g = delta carbon of I; h = gamma carbon of N13; i = nitrogen of the side-chain of N13; j = peptide bond carbon of N12, k = nitrogen of side-chain of N12. This permitted 46 measurements, each atom to every other atom: a-b, a-c etc. Distances between the same atoms were calculated for KEFNNI as a free peptide, with comparisons reducing in number for free EFNNI through free FNNI to free NNI. The peptide MKPVFNNI has also been modelled. A chi-squared test was used, with measurements from the EPL001 model in silico representing Expected (E) and measurements from the modelled free peptides as Observed (O). Chi-squared values were calculated on the basis of (O-E)<sup>2</sup>/E. dof = degrees of freedom.

本研究采用ChemSW公司(Accelrys公司,美国圣地亚哥)推出的分子建模专业版6.22(Molecular Modelling Pro Plus)与ChemSite 5.10版,构建计算机模拟(in silico)模型,具体方法如《方法》(Methods)部分所述。针对EPL001的第9至14位残基肽段<sub>9</sub>KEFNNI<sub>14</sub>,从其侧链选取9个原子、肽主链选取2个原子,具体定义如下:a为第9位赖氨酸(K)的侧链氮原子;b为谷氨酸(E)的δ碳原子;c为谷氨酸(E)侧链的羟基氧原子;d为苯丙氨酸(F)的β碳原子;e为苯丙氨酸(F)的γ碳原子;f为异亮氨酸(I)的肽键碳原子;g为异亮氨酸(I)的δ碳原子;h为第13位天冬酰胺(N)的γ碳原子;i为第13位天冬酰胺(N)的侧链氮原子;j为第12位天冬酰胺(N)的肽键碳原子;k为第12位天冬酰胺(N)的侧链氮原子。由此可生成46组原子间距测量值,覆盖所有两两原子组合(如a-b、a-c等)。针对游离态KEFNNI肽计算对应原子间的距离,后续依次针对游离态EFNNI、游离态FNNI及游离态NNI开展相同计算时,可比较的组数逐渐减少。肽段MKPVFNNI同样完成了计算机建模。本研究采用卡方检验(chi-squared test),将EPL001计算机模拟模型的测量值作为期望频数(E),建模得到的游离态肽段测量值作为观测频数(O)。卡方值按照(O-E)<sup>2</sup>/E公式计算得出,dof即自由度(degrees of freedom)。

提供机构:
figshare
创建时间:
2019-09-27
搜集汇总
数据集介绍
Interatomic Distances Chi-Squared Test 数据集图片
背景与挑战
背景概述
该数据集基于分子建模软件对肽EPL001的原子间距离进行测量,并通过卡方检验比较其在结合状态与自由状态下的结构差异,以支持免疫学相关研究。数据集包含46个原子间距离测量值,涉及多个肽变体的分析,并采用CC BY 4.0许可证开放共享。
以上内容由遇见数据集搜集并总结生成
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