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相关概念视频

The Evidence for Evolution02:55

The Evidence for Evolution

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Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
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Convergent Evolution01:54

Convergent Evolution

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Ranks01:02

Ranks

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Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
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Spearman's Rank Correlation Test01:20

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Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
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Free Energy01:21

Free Energy

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Free energy—abbreviated as G for the scientist Gibbs who discovered it—is a measurement of useful energy that can be extracted from a reaction to do work. It is the energy in a chemical reaction that is available after entropy is accounted for. Reactions that take in energy are considered endergonic and reactions that release energy are exergonic. Plants carry out endergonic reactions by taking in sunlight and carbon dioxide to produce glucose and oxygen. Animals, in turn, break...
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Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

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The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
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  2. 有效,短暂的导向进化与能量等级对齐.
  1. 首页
  2. 有效,短暂的导向进化与能量等级对齐.

相关实验视频

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

Published on: March 16, 2011

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有效,短暂的导向进化与能量等级对齐.

Sebastian Ibarraran, Shriram Chennakesavalu, Frank Hu

    bioRxiv : the preprint server for biology
    |February 12, 2026

    在PubMed 上查看摘要

    概括
    此摘要是机器生成的。

    这项研究引入了一种新的蛋白质工程方法,使用适应的蛋白质语言模型. 这种方法有效地识别出具有较少实验数据的高适应性蛋白质序列,改进了定向进化策略.

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    Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
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    Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli

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    In Vitro Directed Evolution of a Restriction Endonuclease with More Stringent Specificity
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    科学领域:

    • 生物化学 生物化学
    • 计算生物学 计算生物学
    • 蛋白质工程是指蛋白质工程.

    背景情况:

    • 定向进化对于蛋白质工程至关重要,但由于实验数据的高成本而受到限制.
    • 目前用于序列选择的机器学习方法受到稀疏数据的限制,限制了模型的复杂性.

    研究的目的:

    • 通过调整大规模的蛋白质语言模型,开发一种更有效的蛋白质工程方法.
    • 为了利用自然蛋白质序列分布来导航复杂的健身景观.

    主要方法:

    • 使用实验数据调整大规模预训练的蛋白质语言模型.
    • 采用基于统计物理学的训练后算法.
    • 利用定量实验排名来生成多样化,高适应性的序列.

    主要成果:

    • 在蛋白质工程中取得了显著的效率改进.
    • 与竞争方法相比,需要更少的实验数据点.
    • 调整后的模型提供了对高适应性序列的生物物理特征的见解.

    结论:

    • 调整蛋白质语言模型为高效的蛋白质工程提供了一个强大的替代方案.
  • 这种方法有效地导航高维度健身景观.
  • 适应的模型是可解释的,并增强对蛋白质性质的理解.