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相关概念视频

Nuclear Fusion02:45

Nuclear Fusion

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The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
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What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
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Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
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Predicting Molecular Geometry02:27

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VSEPR Theory for Determination of Electron Pair Geometries
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Conservative Site-specific Recombination and Phase Variation02:53

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
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Variation of Atmospheric Pressure01:18

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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
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变异贝叶斯多核自适应深度融合用于微生物相关药物预测.

Yingjun Ma1, MingXu Luo2, Liyu Yan1

  • 1School of Mathematics and Statistics, Xiamen University of Technology, Xiamen 361024, China.

Journal of chemical information and modeling
|February 2, 2026
PubMed
概括

这项研究引入了一种新的计算模型,即变量贝叶斯多核自适应深度融合 (VBMKADF),用于预测微生物药物协会 (MDA). VBMKADF提供了一种比传统实验方法更有效,更准确的方法来发现潜在的候选药物,并了解微生物的作用.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.
  • 药物发现 药物发现

背景情况:

  • 发现微生物药物协会 (MDA) 对药物发现和了解微生物机制至关重要.
  • 用于MDA识别的实验方法耗时且昂贵,需要计算方法.

研究的目的:

  • 开发一种有效的计算模型,用于预测新的微生物药物协会 (MDA).
  • 与现有方法相比,提高MDA预测的准确性和效率.

主要方法:

  • 提出了一个变化的贝叶斯多核自适应深度融合 (VBMKADF) 模型.
  • 集成的多组学数据用于构建药物分子图和微生物超图.
  • 采用多层图形和超图形卷曲,具有类似性融合的注意力机制,集成到贝叶斯逻辑矩阵因子化框架中.
  • 利用一个可变的预期-最大化算法进行自适应推断和模型训练.

主要成果:

  • 在预测微生物与药物关联方面,VBMKADF表现优于最先进的方法.
  • 在平衡和不平衡数据集中获得更高的AUPR,AUC和F1分数.
  • 案例研究验证了该模型作为MDA预测工具的有效性.

结论:

  • VBMKADF模型提供了一种强大而准确的计算工具,用于预测微生物与药物之间的关联.
  • 这种方法加速了药物发现,并加深了对微生物功能的理解.
  • 与MDA识别的传统实验方法相比,VBMKADF提供了显著的进步.