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

12.0K
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...
12.0K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

9
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
9
Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

10.6K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
10.6K
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase01:11

Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase

15
Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
15
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.8K
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...
1.8K
Pharmacodynamic Models: Emax Drug–Concentration Effect Model01:18

Pharmacodynamic Models: Emax Drug–Concentration Effect Model

34
The Emax drug-concentration effect model is central to pharmacodynamics in drug discovery and development. This model is predicated on the receptor occupancy theory, which posits that the effect of a drug is directly related to the number of receptors occupied by the drug and the resultant complex formation.The model describes the reversible interaction between a drug (C) and a receptor (R) to form a drug-receptor complex (RC). The kinetics of this interaction are quantified by an equation that...
34

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

A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors.

Communications medicine·2026
Same author

EquiHGNN: Scalable rotationally equivariant hypergraph neural networks.

The Journal of chemical physics·2026
Same author

DrugPipe: Generative artificial intelligence-assisted virtual screening pipeline for generalizable and efficient drug repurposing.

Biology methods & protocols·2025
Same author

Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions.

PloS one·2025
Same author

ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models.

Structural dynamics (Melville, N.Y.)·2024
Same author

Multimodal pretraining for unsupervised protein representation learning.

Biology methods & protocols·2024

相关实验视频

Updated: Feb 17, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

689

通过潜伏进化优化和合成意识优先级 (EVOSYNTH) 实现多目标药物发现.

Viet Thanh Duy Nguyen1, Phuc Pham1, Truong-Son Hy2

  • 1Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, USA.

Communications chemistry
|February 15, 2026
PubMed
概括

一个新的框架EVOSYNTH通过结合潜伏进化和合成意识优先级来产生多目标药物. 这种方法克服了单一向治疗和复杂疾病的传统多药学的局限性.

更多相关视频

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.6K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

12.7K

相关实验视频

Last Updated: Feb 17, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

689
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

4.6K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

12.7K

科学领域:

  • 药物发现 药物发现 药物发现
  • 计算化学计算化学
  • 系统生物学 系统生物学

背景情况:

  • 复杂的疾病涉及相互连接的途径,使单一目标疗法由于冗余性而不足.
  • 多药学提供了一个解决方案,但面临着诸如药物相互作用和毒性等挑战.

研究的目的:

  • 介绍EVOSYNTH,这是一个用于多目标药物发现的模块化框架.
  • 加强产生和优先考虑具有高转化潜力的候选药物.

主要方法:

  • 利用隐性进化来导航隐性空间以识别多目标候选人.
  • 使用合成意识的优先级来评估回合成的可行性和成本效益.

主要成果:

  • EVOSYNTH在双重抑制JNK3/GSK3β (阿尔茨海默氏症) 和PI3K/PARP1 (卵巢癌) 中表现出卓越的性能.
  • 与基线模型相比,实现了更高的预测亲和度,增加了支架多样性,并降低了合成成本.

结论:

  • EVOSYNTH有效地将目标驱动的生成与实际的合成能力相结合.
  • 建立了一个可扩展的框架,用于多目标和多药物药物发现.