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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Nucleic Acid Structure01:25

Nucleic Acid Structure

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The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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Ribosome Profiling02:24

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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siRNA - Small Interfering RNAs02:30

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Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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Using In Vitro and In-cell SHAPE to Investigate Small Molecule Induced Pre-mRNA Structural Changes
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机器学习对RNA-小分子相互作用建模的进步和挑战:回顾

Tingting Sun1, Wentao Xia1, Jiasai Shu1

  • 1Department of Physics, Zhejiang University of Science and Technology, Hangzhou 310008, China.

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此摘要是机器生成的。

机器学习模型准确地预测RNA-小分子相互作用,有助于药物设计. 这些计算工具有助于识别新型RNA向疗法的结合点和亲和关系.

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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
  • 药物发现 药物发现 药物发现

背景情况:

  • RNA对于基因表达和蛋白质合成至关重要.
  • 用小分子准RNA是一个有前途的治疗途径.
  • 由于RNA的复杂性,对RNA-小分子相互作用的实验性表征具有挑战性.

研究的目的:

  • 审查用于RNA-小分子相互作用建模的最先进的机器学习算法.
  • 专注于预测绑定特征和理解潜在机制.
  • 突出该领域的局限性和未来挑战.

主要方法:

  • 对应用到RNA-小分子相互作用的机器学习算法的审查.
  • 分析用于预测结合地点,姿势,偏好和亲和力的方法.
  • 讨论合理药物设计的计算方法.

主要成果:

  • 机器学习模型在准确预测RNA-小分子相互作用方面显示出显著的前景.
  • 这些模型可以预测结合点,姿势,偏好和亲和力.
  • 计算方法的进步对于开发有针对性的疗法至关重要.

结论:

  • 机器学习为模拟RNA-小分子相互作用提供了强大的工具.
  • 需要进一步发展,以克服当前的局限性和挑战.
  • 计算方法是特定和有效的RNA向药物的合理设计的关键.