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

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.9K
VSEPR Theory for Determination of Electron Pair Geometries
45.9K
Bioavailability Enhancement: Drug Solubility Enhancement01:16

Bioavailability Enhancement: Drug Solubility Enhancement

261
Body:Bioavailability is a critical factor in determining a drug's effectiveness. It refers to the proportion of a drug that enters the circulation when introduced into the body and is, as a result, able to have an active effect. Enhancing bioavailability is essential for drugs with poor solubility, as it can significantly impact their therapeutic efficacy. Various methods are employed to increase the solubility of drugs, thereby enhancing their bioavailability.Micronization and nanonization are...
261
Bioavailability Enhancement: Drug Permeability Enhancement01:27

Bioavailability Enhancement: Drug Permeability Enhancement

205
Body:After oral administration, poor permeability often limits the rate at which drugs are absorbed through the intestinal epithelium. Enhancing drug permeability is crucial for effective therapy, and several strategies have been developed to overcome this challenge.One effective strategy involves the use of lipid-based formulations. These formulations enhance dissolution and solubility, targeting physiological mechanisms to increase drug absorption. This includes stimulating bile salt...
205
Reclosers and Fuses01:26

Reclosers and Fuses

482
Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
A comprehensive protection scheme for radial distribution...
482
Bioavailability Enhancement: Drug Stability Enhancement and GI Retention01:05

Bioavailability Enhancement: Drug Stability Enhancement and GI Retention

219
Body:Improving a drug's stability in the gastrointestinal (GI) tract is paramount for enhancing its bioavailability and therapeutic effectiveness. Various strategies are employed to protect the drug from the harsh gastric milieu and to ensure its release and absorption at the desired site within the GI tract.Polymer coatings are one such method used to shield drugs from the stomach's acidic environment. By preventing premature drug release, these coatings improve the bioavailability of unstable...
219
Pharmacokinetics: Drug–Drug Interactions01:25

Pharmacokinetics: Drug–Drug Interactions

447
Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
447

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 review of deep learning approaches for drug synergy prediction in cancer.

npj drug discovery·2026
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

Pathogenicity prediction for noncanonical splice-altering variants based on multimodal feature fusion.

Briefings in bioinformatics·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 journal

Predicting piRNA-Disease Associations Based on Dual-View Learning and Multi-head Self-Attention Mechanism Fusion.

Interdisciplinary sciences, computational life sciences·2026
Same journal

DTANet+: Dual Interaction and Kernel-Diverse Network for Drug-Target Affinity Prediction.

Interdisciplinary sciences, computational life sciences·2026
Same journal

STNMAE: Identifying Spatial Domains from Spatial Transcriptomics Data with Neighbor-Aware Multi-view Masked Graph Autoencoder.

Interdisciplinary sciences, computational life sciences·2026
Same journal

Diagnosis and Prediction of Alzheimer's Disease via a High-Level Convolutional Block Attention Module-Residual Network.

Interdisciplinary sciences, computational life sciences·2026
Same journal

Deep3D-DTA: A Tri-Modal Deep Learning Framework for Binding Affinity Prediction Leveraging 3D Structural Representations of Drugs and Targets.

Interdisciplinary sciences, computational life sciences·2026
Same journal

ST-LDAW: A Topic-Model and Damped Weighted Least-Squares Method for Integrative Deconvolution of Single-Cell and Spatial Transcriptomics.

Interdisciplinary sciences, computational life sciences·2026
查看所有相关文章

相关实验视频

Updated: Feb 5, 2026

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent
06:54

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent

Published on: September 3, 2013

11.8K

IIC-DTI:一种对比学习增强的分子内部融合框架,用于药物向相互作用预测.

Fei Wang1,2, Dacheng Ruan1, Yang Zhang1

  • 1Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, School of Artificial Intelligence, Anhui University, Hefei, 230601, China.

Interdisciplinary sciences, computational life sciences
|February 3, 2026
PubMed
概括
此摘要是机器生成的。

这项研究介绍了IIC-DTI,一种用于预测药物向相互作用 (DTI) 的新型对比学习模型. 该模型有效地融合了分子内和分子间的特征,优于现有方法,并显示了现实世界药物发现的潜力.

关键词:
相反的学习学习.药物目标相互作用图表 卷积网络 卷积网络多头交叉关注多头交叉关注

更多相关视频

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
11:56

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

14.7K

相关实验视频

Last Updated: Feb 5, 2026

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent
06:54

MR Molecular Imaging of Prostate Cancer with a Small Molecular CLT1 Peptide Targeted Contrast Agent

Published on: September 3, 2013

11.8K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
11:56

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

14.7K

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算化学的计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 准确预测药物向相互作用 (DTI) 对药物开发和重新定位至关重要.
  • 当前的DTI预测模型往往忽略了药物和目标之间的复杂关联,通过独立分析它们的特征.

研究的目的:

  • 通过整合药物和标的分子内和分子间特征,开发一种准确和高效的DTI预测方法.
  • 解决现有模型的局限性,这些模型忽略了药物标对之间的隐藏关联.

主要方法:

  • 一种对比式学习模型,IIC-DTI,旨在融合分子内 (药物化学结构,向氨基酸序列) 和分子间 (药物向对) 特性.
  • 一个多头交叉注意网络提取了分子间特征,而一个对比的学习模块则在药物和目标嵌入的不同观点之间融合了信息.
  • 集成的嵌入式被输入到一个神经网络中,用于DTI预测.

主要成果:

  • 与九种最先进的方法相比,IIC-DTI在四个基准数据集中表现出卓越的性能,包括大型语言模型.
  • 一个案例研究通过文献证据成功验证了20个预测的药物标对中的16个.
  • 该模型有效地确定了给定药物和目标的相关相互作用.

结论:

  • 通过有效利用分子内和分子间信息,IIC-DTI提供了一种有希望的方法来提高DTI预测的准确性.
  • 该模型的性能和验证表明它在现实的药物发现和重新定位场景中具有潜在的适用性.