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相关概念视频

Synthetic Biology02:55

Synthetic Biology

4.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
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Transfer RNA Synthesis02:36

Transfer RNA Synthesis

12.0K
One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
Each of these chemical modifications is carried by a specific enzyme, post-transcription. All of these enzymes have unique base and site-specificity. Methylation, the most common chemical modification, is carried by at least nine different enzymes, with...
12.0K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

767
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
767
SN2 Reaction: Stereochemistry02:23

SN2 Reaction: Stereochemistry

9.7K
In an SN2 reaction, the nucleophilic attack on the substrate and departure of the leaving group occurs simultaneously through a transition state. As the nucleophile approaches the substrate from the back-side, the configuration of the substrate carbon changes from tetrahedral to trigonal bipyramidal and then back to tetrahedral, leading to an inversion in the configuration of the product.
If the substrate is an achiral molecule at the α-carbon, the inversion of configuration is not...
9.7K
ATP and Macromolecule Synthesis01:28

ATP and Macromolecule Synthesis

5.6K
Biological macromolecules are organic compounds, predominantly composed of carbon atoms. The carbon atoms are covalently bonded with hydrogen, oxygen, nitrogen, and other minor elements. There are four major biological macromolecule classes: carbohydrates, lipids, proteins, and nucleic acids.
Most macromolecules are composed of single subunits, or building blocks, called monomers. The monomers combine with each other using covalent bonds to form larger molecules known as polymers.
Conversion of...
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Synthesis and Decomposition Reactions02:17

Synthesis and Decomposition Reactions

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Synthesis and decomposition are two types of redox reactions. Synthesis means to make something, whereas decomposition means to break something. The reactions are accompanied by chemical and energy changes. 
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相关实验视频

Updated: Jul 18, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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SynRoute:一个回合成规划软件.

Mario Latendresse1, Jeremiah P Malerich1, James Herson1

  • 1SRI International, 333 Ravenswood Ave, Menlo Park, California 94025, United States.

Journal of chemical information and modeling
|August 28, 2023
PubMed
概括

SynRoute是一个新的软件工具,它使用人工智能和一小组反应模板来预测化学化合物的可行合成路径. 这种计算机辅助的规划方法成功地确定了83%的测试药物类化合物的实际合成途径.

科学领域:

  • 计算化学是一种计算化学.
  • 有机合成 有机合成
  • 化学领域的人工智能

背景情况:

  • 计算机辅助合成规划的进步依赖于大型反应数据库和人工智能.
  • 开发用于回合成分析的高效工具对于药物发现和化学合成至关重要.

研究的目的:

  • 推出SynRoute,这是一种用于计算机辅助回合成规划的新型软件工具.
  • 利用机器学习开发一种方法来预测计算机生成的化学反应的实验可行性.

主要方法:

  • SynRoute使用263个一般反应模板和基于文献的反应数据库.
  • 机器学习分类器在Pistachio反应数据库上接受训练,以预测反应的成功.
  • 一个向量化的Dijkstra-like搜索算法根据策略识别和排名合成路线.

主要成果:

  • 从ChEMBL数据库中,SynRoute成功地确定了平均83%的类似药物的合成途径.
  • 12条计算机生成路线的实验室验证证实了它们对合成目标化合物的可行性.

结论:

  • SynRoute为计算机辅助合成规划提供了一种实用而高效的方法.

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  • 机器学习用于反应预测的整合提高了计算逆合成的可靠性.