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

Drug Discovery: Overview01:26

Drug Discovery: Overview

7.8K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
7.8K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

710
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
710
Molecular Models02:00

Molecular Models

38.3K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
38.3K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K

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

Development of a Dual Chemical Probe for the USP16 and HDAC6 Zinc-Finger Ubiquitin-Binding Domain.

Journal of medicinal chemistry·2026
Same author

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Journal of chemical information and modeling·2026
Same author

Enantioselective protein affinity selection mass spectrometry (E-ASMS).

Nature communications·2025
Same author

Structure-based discovery of inhibitors of Mac1 domain of nonstructural protein-3 of SARS-CoV-2 by machine learning-augmented screening of chemical space.

bioRxiv : the preprint server for biology·2025
Same author

k-Nearest Neighbor Adaptive Sampling, a Simple Tool to Efficiently Explore Conformational Space.

Journal of chemical theory and computation·2025
Same author

CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13.

Journal of chemical information and modeling·2025

相关实验视频

Updated: Jun 28, 2025

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
06:26

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

Published on: May 16, 2021

4.8K

新兴的基于结构的计算方法来选爆炸式可访问的化学空间.

Corentin Bedart1, Conrad Veranso Simoben2, Matthieu Schapira3

  • 1Univ. Lille, Inserm, CHU Lille, U1286 - INFINITE - Institute for Translational Research in Inflammation, F-59000, Lille, France.

Current opinion in structural biology
|April 11, 2024
PubMed
概括
此摘要是机器生成的。

基于结构的虚拟查通过预测蛋白质相互作用来识别候选药物. 新的机器学习和基于synthon的方法加速了大量化学图书馆的选,克服了药物发现的计算限制.

更多相关视频

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source
08:35

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

Published on: May 29, 2021

5.2K
Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
06:29

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Published on: March 3, 2021

5.5K

相关实验视频

Last Updated: Jun 28, 2025

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
06:26

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

Published on: May 16, 2021

4.8K
Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source
08:35

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

Published on: May 29, 2021

5.2K
Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
06:29

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Published on: March 3, 2021

5.5K

科学领域:

  • 计算化学是一种计算化学.
  • 药物发现 药物发现
  • 化学信息学 化学信息学

背景情况:

  • 基于结构的虚拟查 (SBVS) 对于通过预测它们与标蛋白的相互作用来识别潜在的候选药物至关重要.
  • 化学图书馆的指数增长带来了计算挑战,因为选能力落后于不断扩大的可访问分子数量.

研究的目的:

  • 对加速虚拟选的新,越来越受欢迎的方法进行审查.
  • 讨论机器学习加速和基于synthon的图书馆选方法.

主要方法:

  • 对开创性的概念验证研究进行审查.
  • 关于加速虚拟查技术的最新发展情况的摘要.
  • 讨论局限性和未来的研究方向.

主要成果:

  • 机器学习和基于synthon的方法提供解决方案,以更高效地计算选大型化学库.
  • 这些方法提高了在庞大的数据集中识别高质量的化合物的能力.

结论:

  • 加快的虚拟选方法对于现代药物发现至关重要,能够有效地探索广的化学空间.
  • 未来的方向包括进一步开发和整合这些计算策略,以克服选瓶.