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相关概念视频

Inhibition of Cdk Activity02:34

Inhibition of Cdk Activity

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The orderly progression of the cell cycle depends on the activation of Cdk protein by binding to its cyclin partner. However, the cell cycle must be restricted when undergoing abnormal changes. Most cancers correlate to the deregulated cell cycle, and since Cdks are a central component of the cell cycle, Cdk inhibitors are extensively studied to develop anticancer agents. For instance, cyclin D associates with several Cdks, such as Cdk 4/6, to form an active complex. The cyclin D-Cdk4/6 complex...
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Virtual Work01:20

Virtual Work

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The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
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S-Cdk Initiates DNA Replication02:38

S-Cdk Initiates DNA Replication

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The cell cycle is a series of events leading to DNA duplication followed by the division of cell content to form two daughter cells. The cell cycle progresses in four stages—the cell increases in size (gap 1 or G1-phase), duplicates its DNA (synthesis or S-phase), prepares to divide (gap 2 or G2-phase), and divides (mitosis or M-phase).
Two states at the origin of replication
In eukaryotes, the initiation of replication occurs at many sites on the chromosomes, called the origins of...
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M-Cdk Drives Transition Into Mitosis02:15

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Checkpoints throughout the cell cycle serve as safeguards and gatekeepers, allowing the cell cycle to progress in favorable conditions and slow or halt it in problematic ones. This regulation is known as the cell cycle control system.
Cyclin-dependent kinases, or Cdks, work in concert with cyclins to control cell cycle transitions. M-Cdk, a complex of Cdk1 bound to M cyclin, is a well-known example of this coordinated control that drives the transition from the G2 to the M phase.
M cyclin...
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Eukaryotic Transcription Inhibitors01:52

Eukaryotic Transcription Inhibitors

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Certain biochemical processes, such as embryonic development and cell growth regulation, depend on the repression of specific genes. DNA binding proteins known as eukaryotic transcription inhibitors regulate the repression of gene expression in eukaryotes. The presence of these inhibitors at the required location and time in the cell is triggered by the presence of hormones and additional signals from other cells.
Eukaryotic transcription inhibitors usually contain two distinct domains, a...
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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相关实验视频

Updated: Jan 29, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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基于机器学习的虚拟查,用于识别新型CDK-9抑制剂.

Lisa Piazza1, Clarissa Poles2,3, Giulia Bononi1

  • 1Department of Pharmacy, University of Pisa, 56126 Pisa, Italy.

Biomolecules
|January 28, 2026
PubMed
概括

机器学习发现了针对循环素依赖激酶9 (CDK9) 的新型化合物,这种蛋白质对癌细胞存活至关重要. 一种化合物作为单一药物或与Camptothecin结合表现出治疗潜力.

关键词:
癌症治疗疗法 癌症治疗循环林依赖性激酶9的作用发现药物的发现.机器学习是机器学习.虚拟选 虚拟选 虚拟选

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科学领域:

  • 在瘤学瘤学.
  • 计算化学计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 循环素依赖性激酶9 (CDK9) 对于癌细胞生存至关重要,调节基因和抗亡蛋白表达.
  • 恶性瘤中CDK9过度表达使其成为抗癌策略的关键治疗点.

研究的目的:

  • 开发和应用机器学习 (ML) 方法来识别CDK9.9的新兴抑制剂.
  • 通过酶分析和癌症细胞系检测验证潜在的CDK9抑制剂.

主要方法:

  • 系统的数据收集和预处理以构建70个预测性ML模型.
  • 虚拟查 (VS) 以最佳的ML模型为指导,以识别候选抑制剂.
  • 在各种癌症细胞系中对化合物的酶分析和随后的测试.

主要成果:

  • 从虚拟查中确定了14种有前途的化合物.
  • 两种化合物表现出低微分子抑制活性.
  • 一种新型化合物表现出治疗潜力,单独和与坎普托西因 (CPT) 结合,在细胞系中具有不同的疗效.

结论:

  • 机器学习有效地集成到药物发现管道中,用于识别新型抗癌剂.
  • 鉴定到的新型化合物代表了开发新的CDK9向疗法的有前途的起点.
  • 这项研究强调了CDK9抑制在癌症治疗中的潜力,组合疗法显示出有前途.