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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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M-Cdk Drives Transition Into Mitosis02:15

M-Cdk Drives Transition Into Mitosis

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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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Positive Regulator Molecules02:39

Positive Regulator Molecules

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Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.
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相关实验视频

Updated: Jan 6, 2026

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
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Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

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机器学习可以预测CDK4抑制.

Walter Filgueira de Azevedo1

  • 1Department of Physics, Institute of Exact Sciences, Federal University of Alfenas, Alfenas, MG, Brazil.

Methods in molecular biology (Clifton, N.J.)
|October 11, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种机器学习工作流程,用于使用原子坐标预测循环素依赖激酶4 (CDK4) 抑制. 开发的神经网络模型利用对接模拟和结合亲和数据来发现抗癌药物.

关键词:
人工智能的人工智能是人工智能.循环素依赖性激酶4的作用深度学习是一种深度学习.机器学习 机器学习莫莱格罗数据建模器神经网络的神经网络的神经网络评分功能的空间空间.

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Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay
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Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence
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相关实验视频

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Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
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Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay
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Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence
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科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 机器学习 机器学习

背景情况:

  • 循环素依赖激酶4 (CDK4) 是抗癌药物开发的关键目标.
  • 现有的晶体结构使得CDK4抑制的计算对接模拟成为可能.
  • 对CDK4抑制剂的结合亲和数据有助于创建预测机器学习模型.

研究的目的:

  • 描述一个集成的工作流来构建一个神经网络模型来预测CDK4抑制.
  • 利用原子坐标和对接结果用于CDK4抑制的回归建模.
  • 为可重复性研究提供可访问的数据集和Jupyter笔记本.

主要方法:

  • 使用Molegro数据建模器 (MDM) 构建基于对接结果的回归模型.
  • 使用由Molegro虚拟对接器 (MVD) 生成的蛋白质姿态结构.
  • 整合来自BindingDB的实验绑定数据用于模型培训.

主要成果:

  • 建立了一个功能性工作流程,集成对接模拟和机器学习,用于CDK4抑制预测.
  • 工作流成功构建回归模型以根据原子坐标计算结合亲和力.
  • 相关的CDK4数据集和Jupyter笔记本在GitHub上公开提供.

结论:

  • 描述的工作流提供了一种可靠的方法,用于使用计算方法预测CDK4抑制.
  • 这种综合方法有助于识别和开发针对CDK4.4的新型抗癌药物.
  • 代码和数据的可用性促进了药物发现的进一步研究和应用.