Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against specific...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists01:28

Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists

Neurokinin 1 (NK1) receptors are distributed across the GI tract, vagal afferents, and key CNS regions including the central vomiting center and chemoreceptor trigger zone (CTZ) Chemotherapy agents stimulate enterochromaffin cells in the gastrointestinal (GI) tract to release large amounts of substance P (SP). SP is a neuropeptide released by specific sensory nerves in response to many different stressors, including those in the GI mucosa affected by chemotherapy.  SP binds and activates these...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Impact of mutant β-catenin on ABCB1 expression and therapy response in colon cancer cells.

British journal of cancer·2012
Same author

Human tumor cell strains defective in the repair of alkylation damage.

Carcinogenesis·2012
Same author

Voltage-dependent Changes of a Membrane Protein in Lipid Model Membranes: Studies with the Hepatic Asialoglycoprotein Receptor.

Biophysical journal·2009
Same author

Lumbar discectomy outcomes vary by herniation level in the Spine Patient Outcomes Research Trial.

The Journal of bone and joint surgery. American volume·2008
Same author

Signal pathway profiling of epithelial and stromal compartments of colonic carcinoma reveals epithelial-mesenchymal transition.

Oncogene·2007
Same author

Development of recombinant adeno-associated virus vectors carrying small interfering RNA (shHec1)-mediated depletion of kinetochore Hec1 protein in tumor cells.

Gene therapy·2007

相关实验视频

Updated: Jul 5, 2026

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity
07:42

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity

Published on: April 26, 2012

神经计算在癌症药物开发中:预测作用机制

J N Weinstein1, K W Kohn, M R Grever

  • 1Laboratory of Mathematical Biology, National Cancer Institute, Bethesda, MD 20892.

Science (New York, N.Y.)
|October 16, 1992
PubMed
概括

神经网络从细胞系活动模式准确地预测抗癌药物作用机制. 这种计算方法通过改善新型治疗剂的分类来增强药物发现.

科学领域:

  • 计算生物学是一种计算生物学.
  • 药理学 药理学是指药理学的学科.
  • 人工智能在药物发现中的作用

背景情况:

  • 国家癌症研究所的药物查计划测试了许多抗癌剂.
  • 预测药物的作用机制对于其开发管道至关重要.
  • 传统的统计方法在分析复杂的生物数据方面存在局限性.

研究的目的:

  • 开发和评估用于预测药物作用机制的神经网络.
  • 与标准统计技术相比,评估神经网络的有效性.
  • 探索AI在加速抗癌药物发现方面的潜力.

主要方法:

  • 利用神经网络分析60个恶性细胞系的药物活性模式.
  • 将神经网络性能与线性差异分析进行比较.
  • 训练并将预测模型应用于抗癌药物的数据集.

主要成果:

  • 神经网络在药物作用机制方面实现了8.5%的错误分类率.
  • 线性差异分析结果显示,错误分类率为14.2%.
  • 细胞系活动模式包含有关药物机制的重要信息.

结论:

更多相关视频

In Vitro Modeling of Cancerous Neural Invasion: The Dorsal Root Ganglion Model
08:23

In Vitro Modeling of Cancerous Neural Invasion: The Dorsal Root Ganglion Model

Published on: April 12, 2016

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells
10:01

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells

Published on: August 2, 2022

相关实验视频

Last Updated: Jul 5, 2026

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity
07:42

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity

Published on: April 26, 2012

In Vitro Modeling of Cancerous Neural Invasion: The Dorsal Root Ganglion Model
08:23

In Vitro Modeling of Cancerous Neural Invasion: The Dorsal Root Ganglion Model

Published on: April 12, 2016

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells
10:01

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells

Published on: August 2, 2022

  • 神经网络有效地利用细胞系反应数据来预测药物机制.
  • 这种由人工智能驱动的方法可以预期每年分类超过10,000个代理.
  • 人工智能和统计工具可以简化抗癌剂从体外实验到临床研究的过渡.