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

The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

12.9K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
12.9K
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

161
Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
161
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

39
Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
39
Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
12.8K
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
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

697
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...
697

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 journal

Long-Term Stable Wearable Electrochemical Aptamer Sensor for Cortisol in Artificial Sweat Based on a Gold Nanoparticle-Carboxymethyl Cellulose-Methylene Blue Interface.

ACS omega·2026
Same journal

From the Gut to the Brain: Modeling Intestinal Absorption and Assessing Blood-Brain-Barrier Permeability of Small-Molecule Drugs by IAM Chromatography.

ACS omega·2026
Same journal

Retraction of "Flexible Type Symmetric Supercapacitor Electrode Fabrication Using Phosphoric Acid-Activated Carbon Nanomaterials Derived from Cow Dung for Renewable Energy Applications".

ACS omega·2026
Same journal

A Green Magnetite-Coated Waste Biomass for Simultaneous Removal of Multiple Toxic Metals from Water.

ACS omega·2026
Same journal

Mechanically Stable Metal/Silica Antireflective and Antidust Coatings with Controlled Optical Properties to Mitigate Dust Adhesion in Desert Conditions.

ACS omega·2026
Same journal

A Molecular Analogue of Cu/ZSM‑5 Catalyzing the Monooxygenation of Hydrocarbons via a Mono μ‑Oxo Dicopper Species.

ACS omega·2026

相关实验视频

Updated: Jun 21, 2025

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

2.5K

图片DTA:一种用于药物标绑定亲和力预测的简单模型.

Li Han1, Ling Kang2, Quan Guo2

  • 1Software and Big Data Technology Department, Dalian Neusoft University of Information, Dalian, Liaoning 116023, China.

ACS omega
|July 8, 2024
PubMed
概括

图像DTA是一种新的深度学习方法,通过将分子数据视为图像来预测药物标结合亲和力. 这种方法提高了药物发现中与现有的人工智能模型相比的准确性和效率.

科学领域:

  • 计算化学是一种计算化学.
  • 人工智能在药物发现中的作用
  • 生物信息学是一种生物信息学.

背景情况:

  • 预测药物标结合亲和力 (DTA) 对于有效的药物发现至关重要.
  • 目前的人工智能 (AI) 方法,包括深度神经网络,需要提高准确性,复杂性和效率.
  • 卷积神经网络 (CNN) 显示出有效的学习能力,即使数据有限.

研究的目的:

  • 介绍ImageDTA,一种基于多尺度二维卷积神经网络 (CNN) 的新型预测方法.
  • 为了利用CNN的图像处理能力来提高DTA预测.
  • 提高现有的DTA预测模型的准确性,训练和推断效率.

主要方法:

  • 图像DTA使用的是一个多尺度的二维CNN架构.
  • 分子数据使用简化分子输入线输入系统 (SMILES) 字符串进行编码,并作为CNN处理的"图像"处理.
  • 使用可视化技术来优化卷积内核大小的可解释性.

主要成果:

  • 与预训练的大型模型相比,ImageDTA显示了更高的训练和推断效率.
  • 在基于注意力的图形神经网络模型中,ImageDTA实现了卓越的准确性和可解释性.
  • 使用具有图像样分子表示的CNN可以提高模型性能.

更多相关视频

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

5.0K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.6K

相关实验视频

Last Updated: Jun 21, 2025

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

2.5K
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

5.0K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.6K

结论:

  • 图像DTA提供了一个有希望的AI驱动的方法,用于准确和高效的药物标结合亲和力预测.
  • 该方法独特的基于图像的分子数据处理增强了CNN学习.
  • 图像DTA提供了更好的解释性,有助于理解药物向相互作用.