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相关概念视频

Margin of Error01:27

Margin of Error

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Self-Discrepancy Theory02:45

Self-Discrepancy Theory

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One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
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Gain01:15

Gain

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Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
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Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I,...
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Mean Absolute Deviation01:13

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The mean absolute deviation is also a measure of the variability of data in a sample. It is the absolute value of the average difference between the data values and the mean.
Let us consider a dataset containing the number of unsold cupcakes in five shops: 10, 15, 8, 7, and 10. Initially, calculate the sample mean. Then calculate the deviation, or the difference, between each data value and the mean. Next, the absolute values of these deviations are added and divided by the sample size to...
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Pareto Chart00:52

Pareto Chart

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A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
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注意差距的差距,注意空间的差距.

Sven Larsen-Ledet1, Amelie Stein1

  • 1Department of Biology, University of Copenhagen, 2200 Copenhagen N, Denmark.

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概括
此摘要是机器生成的。

蛋白质中的氨基酸缺失可以改变结构和功能. 这项研究从结构上分析了17种具有单个氨基酸删除的小α螺旋蛋白的变体,以了解删除影响.

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科学领域:

  • 生物化学 生物化学
  • 结构生物学 结构生物学
  • 蛋白质工程是指蛋白质的工程.

背景情况:

  • 氨基酸缺失是影响蛋白质结构和功能的重大突变.
  • 这种删除的精确结构后果,特别是在小螺旋蛋白中,仍然在很大程度上没有特征.
  • 了解这些影响对于蛋白质设计和预测突变结果至关重要.

研究的目的:

  • 为了研究一个小的α-螺旋蛋白中的单个氨基酸缺失的结构效应.
  • 为了确定哪些删除变异保留溶解性和结构完整性.
  • 开发一种用于氨基酸删除溶解度的预测计算模型.

主要方法:

  • 从模型小α螺旋蛋白中系统地单独删除65个氨基酸残留物.
  • 由此产生的蛋白质变体的结构测定,以确定可溶性和结构稳定性.
  • 开发一个集Rosetta和AlphaFold2的计算模型,用于预测删除溶解度.

主要成果:

  • 由单个氨基酸删除产生的17种可溶性变体的结构特征.
  • 该研究确定了特定的残留物,其删除显著影响蛋白质的溶解性和结构.
  • 一个计算模型成功地开发出来,可以预测氨基酸删除变体的溶解度.

结论:

  • 个别的氨基酸缺失可以对蛋白质结构和可溶性产生多样化和显著的影响.
  • 开发的计算模型为预测删除效应提供了有价值的工具.
  • 这项工作促进了对小螺旋状蛋白质突变耐受性的理解.