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

Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...

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

Generative AI in structure-based drug discovery.

BMC biology·2026
Same author

Precision fragment addition: domain-specific DeepFrag2 models for smarter lead optimization.

Digital discovery·2026
Same author

Teratoid Hepatoblastoma: Clinicopathologic Features and Outcomes.

Pediatric blood & cancer·2025
Same author

CENsible: Interpretable Insights into Small-Molecule Binding with Context Explanation Networks.

Journal of chemical information and modeling·2024
Same author

The chaperone PrsA2 regulates the secretion, stability, and folding of listeriolysin O during <i>Listeria monocytogenes</i> infection.

mBio·2024
Same author

MolModa: accessible and secure molecular docking in a web browser.

Nucleic acids research·2024
Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026
Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026
Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026
Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026
Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026
Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: May 11, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

9.2K

教老码头新的技巧,用机器学习增强组合对接.

Roshni Bhatt1, Ann Wang1, Jacob D Durrant2

  • 1Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, 15260, USA.

Scientific reports
|September 5, 2024
PubMed
概括
此摘要是机器生成的。

集团优化器 (EnOpt) 是一款新的机器学习工具,它增强了用于药物发现的集团虚拟选 (VS). EnOpt通过优化如何在多种蛋白质构成中分析化合物得分来提高预测蛋白质-连接体结合的准确性.

关键词:
计算机辅助药物设计决策树是一个决策树.组合虚拟选 组合虚拟选机器学习 机器学习分子对接是分子对接.使用者友好的软件.

更多相关视频

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

522
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.4K

相关实验视频

Last Updated: May 11, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

9.2K
Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

522
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

2.4K

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:

  • 虚拟选 (VS) 预测了蛋白质与小分子的结合.
  • 组合VS通过使用多种蛋白质构造来解释蛋白质的灵活性.
  • 在VS组合中排名化合物需要系统特定的决定来解释得分.

研究的目的:

  • 介绍一下Ensemble Optimizer (EnOpt),这是一个机器学习工具.
  • 提高整体VS的准确性和可解释性.
  • 提供可广泛采用的开源解决方案.

主要方法:

  • 集团优化器 (EnOpt) 使用机器学习算法.
  • EnOpt优化了蛋白质构造和得分映射的选择.
  • 进行了基准VS研究来评估EnOpt的性能.

主要成果:

  • 恩奥普特 (EnOpt) 提高了对活性化合物的排名准确度,使其超过不活性或诱惑分子.
  • 该工具在各种系统中显示了与传统集体VS方法相比更好的性能.
  • EnOpt提供了一种更易于解释的方法来分析复合分数.

结论:

  • EnOpt有效地解决了集体虚拟选中的挑战.
  • 该工具提供了一种更准确,更易于解释的方法来优先考虑候选药物.
  • EnOpt是免费提供,促进在计算药物发现更广泛的采用.