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Cycloadditions are one of the most valuable and effective synthesis routes to form cyclic compounds. These are concerted pericyclic reactions between two unsaturated compounds resulting in a cyclic product with two new σ bonds formed at the expense of π bonds. The [4 + 2] cycloaddition, known as the Diels–Alder reaction, is the most common. The other example is a [2 + 2] cycloaddition.
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A phase I reaction is a biochemical process that introduces a functionally reactive polar group to a substance. This transformation predominantly occurs in the liver, facilitated by the cytochrome P450 system of hemoproteins situated in the lipophilic endoplasmic reticulum of cells. The metabolite generated through this process can have varying polarities. If it is sufficiently polar, it can be easily excreted in the urine due to its water compatibility. However, if the metabolite is nonpolar,...
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The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Pericyclic reactions are organic reactions that occur via a concerted mechanism without generating any intermediates. The reactions proceed through the movement of electrons in a closed loop to form a cyclic transition state, where rearrangement of the σ and π bonds yields specific products.
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Wilhelm Rudolph Fittig discovered the pinacol coupling reaction in 1859. It is a radical dimerization reaction and involves the reductive coupling of aldehydes or ketones in the presence of hydrocarbon solvent to yield vicinal diols.
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开发具有药学意义的Pd催化C-N合反应模型,利用高通量实验

Seung Kyun Ha1, Dipannita Kalyani2, Michael S West2

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科学领域:

  • 医学化学
  • 计算化学
  • 有机合成

背景情况:

  • 催化C-N合对于合成药物至关重要.
  • 由于复杂的反应空间,开发这些反应的预测模型具有挑战性.

研究的目的:

  • 开发和验证用于预测Pd催化C-N合的成功的机器学习模型.
  • 利用大量新生成的数据集进行可靠的模型培训和评估.

主要方法:

  • 通过高吞吐量实验生成了大量数据集 (4204种独特产品).
  • 使用LiOTMS作为基础,开发了与纳米分子级反应兼容的新型自动化友好的C-N合条件.
  • 采用五种不同的数据分割策略来严格评估模型性能,包括插入和抽出能力.

主要成果:

  • 根据标准评估指标,机器学习模型在所有数据分割中都显示出高预测性能.
  • 模型准确地预测了未包含在训练集中的验证库的结果,显示出强烈的概括性.
  • 开发的反应条件与自动化和纳米级合成相容.

结论:

  • 开发的机器学习模型在预测Pd催化C-N合结果方面具有很高的准确性.
  • 这些模型可以通过丰富成功的C-N合来显著提高药物化学活动的效率.
  • 这项研究强调了大规模的新数据生成和机器学习在加速药物发现方面的力量.