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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.1K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.1K

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

What Is in a Structure? Cell Permeability and Solubility of Series of Macrocycles and Linear Matched Pairs.

Journal of medicinal chemistry·2026
Same author

New high affinity AT2 receptor ligands comprising a 2-methyl substituted phenylthiophene scaffold.

Bioorganic & medicinal chemistry·2026
Same author

Visual field inhomogeneities and the architectonics of early visual cortex shape visual working memory.

Cerebral cortex (New York, N.Y. : 1991)·2026
Same author

Metacognition in Decision-Making Across Domains and Modalities: Evidence From Three Studies.

Psychological science·2026
Same author

A Large-scale Investigation of the Resting-state Alpha-band Activity in Relation to Interindividual Differences in Visual Perception.

Journal of cognitive neuroscience·2025
Same author

There can be more to consciousness research than theory testing.

Communications psychology·2025
Same journal

Targeting the GLP-1 receptor pathways for dual management of obesity and depression.

Drug discovery today·2026
Same journal

Chemical intervention strategies targeting MYC for cancer therapy.

Drug discovery today·2026
Same journal

How many protein pairs can we chemically target?

Drug discovery today·2026
Same journal

From trial-and-error to inverse design: how AI is redefining drug delivery systems.

Drug discovery today·2026
Same journal

Critical evaluation of the key mediators causing life-threatening symptoms during human anaphylaxis.

Drug discovery today·2026
Same journal

A20 as a novel immunoregulatory target for neuroinflammation.

Drug discovery today·2026
查看所有相关文章

相关实验视频

Updated: Feb 23, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K

针对DNA编码库的可通用预测模型.

Vasanthanathan Poongavanam1, S Pauliina Turunen2, Kristian Sandberg2

  • 1Drug Discovery and Development Platform, Science for Life Laboratory, Department of Medicinal Chemistry, BMC, Uppsala University, Box 574, SE-751 23 Uppsala, Sweden.

Drug discovery today
|February 21, 2026
PubMed
概括
此摘要是机器生成的。

用DNA编码的库 (DEL) 和机器学习 (ML) 加快了药物发现,但也面临着挑战. 本综述强调了噪音数据和模型过拟合的问题,并提出了更强大的化学空间探索的解决方案.

关键词:
阿尔卡奥尔卡 (AURKA AURKA) 是一个一个DNA编码的图书馆.化学空间 化学空间域名适应 域名适应可以概括的概括性.机器学习是机器学习.

更多相关视频

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.6K
Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples
13:26

Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples

Published on: April 17, 2015

11.0K

相关实验视频

Last Updated: Feb 23, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K
Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
11:35

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

13.6K
Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples
13:26

Automated Gel Size Selection to Improve the Quality of Next-generation Sequencing Libraries Prepared from Environmental Water Samples

Published on: April 17, 2015

11.0K

科学领域:

  • 药物发现 药物发现 药物发现
  • 计算化学计算化学
  • 生物技术是生物技术.

背景情况:

  • 与机器学习 (ML) 结合的DNA编码库 (DEL) 为药物发现中成功识别提供了强大的方法.
  • 来自DEL的测序数据可能会噪音和偏差,导致ML模型过度适应特定的化学库.

研究的目的:

  • 批判性地评估DEL-ML在命中识别方面的能力和局限性.
  • 用 Aurora Kinase A (AURKA) 亲和力选择数据来说明DEL-ML中的挑战.
  • 提出构建强大的DEL-ML模型的策略.

主要方法:

  • 审查现有的DEL-ML方法.
  • 对光激酶A (AURKA) DEL亲和力选择数据的分析.
  • 评估消除噪音的策略和领域适应技术.

主要成果:

  • 由于特定于图书馆的结构约束,标准的ML模型往往无法将其推广到新的化学空间.
  • 噪音和偏差测序数据显著影响了DEL-ML模型的性能.
  • 结合式库中的特定结构约束限制了模型的概括性.

结论:

  • 严格的否认策略对于有效的DEL-ML是必不可少的.
  • 像域调整这样的技术可以帮助减轻局限性并提高模型的稳定性.
  • 提出了一份路线图,用于开发能够有效探索各种化学空间的DEL-ML模型.