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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

104
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
104
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.2K
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...
6.2K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

152
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
152
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

122
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
122
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

159
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
159
Genetic Screens02:46

Genetic Screens

5.1K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.1K

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

Deciphering flavonoids and terpenoids biosynthesis through chromosomal-level genome, metabolome, and transcriptome integration in <i>Spuriopimpinella brachycarpa</i>.

Horticulture research·2026
Same author

Genome-wide characterization of MADS-box genes reveals CsaSOC1 as a key regulator of flowering in Cannabis sativa L.

Plant cell reports·2026
Same author

Identification and characterization of GRAS transcription factors in <i>Panax quinquefolius</i> and their potential roles in cold tolerance.

Frontiers in plant science·2026
Same author

Prediction of circular RNA-RNA binding protein binding sites based on structural feature and dynamic feature screening.

International journal of biological macromolecules·2026
Same author

MSGTrans: circRNA-disease association prediction with cluster-based negative sampling and multi-scale graph transformer.

IEEE transactions on nanobioscience·2026
Same author

From Cell-Free Transcriptomes to Single-Cell Landscapes: Biomarker Discovery and Originating Cell Alteration Analysis via Graph Matrix Factorization.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Correction to "AstraMEV (AI-Guided Structural Assembly of Multi-Epitope Vaccines) Against Infectious Bronchitis Virus".

Journal of chemical information and modeling·2026
Same journal

MolPy: A Large Language Model-Friendly Toolkit for Reactive Topology Editing in Polymer Simulations.

Journal of chemical information and modeling·2026
Same journal

Molecular Mechanisms of KIT Receptor Dimerization and Oncogenic Activation Revealed by Multiscale Simulations.

Journal of chemical information and modeling·2026
Same journal

Structural and Thermodynamic Discrimination between Agonists and Antagonists of Retinoic Acid Receptor γ and the Vitamin D Receptor.

Journal of chemical information and modeling·2026
Same journal

PACEff Builder: An Efficient Platform for Constructing PACE Hybrid-Resolution Models for Molecular Dynamics Simulations of Aqueous Protein, Peptide Assembly, and Membrane Protein Systems.

Journal of chemical information and modeling·2026
Same journal

TransKla: A Local-Global Cross-Attention Based Transformer Approach for Prediction of Lysine Lactylation Sites.

Journal of chemical information and modeling·2026
查看所有相关文章

相关实验视频

Updated: Sep 19, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

基于蒙特卡洛树搜索和多目标遗传算法的分子优化.

Chong Zhang1, Cai Dai1, Xiujuan Lei1

  • 1School of Computer Science, Shaanxi Normal University, Xi'an 710119, China.

Journal of chemical information and modeling
|June 2, 2025
PubMed
概括
此摘要是机器生成的。

一种新的方法,即蒙特卡罗树搜索 (MCTS) 的分子多目标优化和非优越性排名遗传算法II (NSGA-II) -MNopt,优化了分子设计. 它有效地产生有效和可行的分子用于药物发现,而无需大量的数据.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.2K

相关实验视频

Last Updated: Sep 19, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.2K

科学领域:

  • 药用化学 医学化学
  • 计算化学计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 管理大型分子数据集和选有价值的分子在药物化学中的重大挑战.
  • 传统的方法,如深度学习和遗传算法 (GA) 有局限性,包括高计算成本和产生无效的分子结构.

研究的目的:

  • 开发一种先进的分子设计计算方法,克服现有方法的局限性.
  • 创建一个新的算法,有效地选和保存有价值的分子,用于药物发现和材料科学.

主要方法:

  • 将蒙特卡罗树搜索 (MCTS) 与非优越性排名遗传算法II (NSGA-II) 集成到一个名为MNopt.的新框架中.
  • 利用NSGA-II在多目标优化方面的优势以及MCTS提高分子结构有效性和可行性的能力.
  • 设计MNopt以尽量减少对广泛分子训练数据的依赖,减少计算资源需求.

主要成果:

  • 与现有技术相比,MNopt在多目标分子优化方面表现出卓越的性能.
  • 该方法成功地产生了有效和多样化的分子结构.
  • 在药物发现过程中,MNopt有效地解决了分子数据管理和选方面的挑战.

结论:

  • MNopt提供了一种强大且资源高效的工具,用于加速新药发现和推进材料科学.
  • 综合的MCTS和NSGA-II方法为生成高质量的分子设计提供了强大的解决方案.
  • 这种方法提高了分子的可行性和可取性,为新的治疗剂和材料铺平了道路.