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

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

480
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...
480
Primary Active Transport01:29

Primary Active Transport

9.6K
In contrast to passive transport, active transport involves a substance being moved through membranes in a direction against its concentration or electrochemical gradient. There are two types of active transport: primary active transport and secondary active transport. Primary active transport utilizes chemical energy from ATP to drive protein pumps embedded in the cell membrane. With energy from ATP, the pumps transport ions against their electrochemical gradients—a direction they would...
9.6K
The Significance of Membrane Transport01:44

The Significance of Membrane Transport

21.5K
The transport of solutes across the cell membrane is essential for metabolic processes, like maintaining cell size and volume, generating the action potential, exchanging nutrients and gases, etc. Membrane transport can be either passive or active. It can be simple diffusion, facilitated, or mediated transport aided by transport proteins such as transporters and channels.
Transporters facilitate either an active or passive movement of solutes. They can allow a single-molecule transport down its...
21.5K
Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
Membrane Transporters01:31

Membrane Transporters

10.2K
Transporters are essential membrane transport proteins with functions related to cell nutrition, homeostasis, communication, etc. Approximately 7% of all genes in the human genome code for transporters or transporter-related proteins.
Transporters are mainly composed of alpha-helices, built from bundles of ten or more helices traversing the plasma membrane. The solute-binding sites are located midway, where some of the helices are broken or distorted, making space for the binding site through...
10.2K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.4K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.4K

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

Triple Matrix Factorization for Drug-Drug Interaction Prediction Using Fused Gromov-Wasserstein Distances.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Optimal Transport Based Graph Kernels for Drug Property Prediction.

IEEE open journal of engineering in medicine and biology·2025
Same author

Exploration into biomarker potential of region-specific brain gene co-expression networks.

Scientific reports·2020
Same author

Robust calculation of slopes in detrended fluctuation analysis and its application to envelopes of human alpha rhythms.

Scientific reports·2019
Same author

Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2018

相关实验视频

Updated: May 24, 2025

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

4.9K

基于运输的最佳网络对齐:在生物学中小分子结构-活动关系的图形分类.

Mohammed Aburidi, Roummel Marcia

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究引入了一种新的图形对齐方法,使用分子表示的最佳运输. 它提高了对分子结构-功能关系的理解,推动了药物发现和计算生物学.

    科学领域:

    • 计算生物学 计算生物学
    • 化学信息学 化学信息学
    • 生物信息学是一种生物信息学.

    背景情况:

    • 图形表示对于理解分子结构-功能关系至关重要.
    • 现有的对准生物分子图的方法往往忽视了节点嵌入的功能洞察力.
    • 需要先进的图形对齐技术,包括更丰富的分子信息.

    研究的目的:

    • 为小型生物分子开发一种新的图形对齐方法.
    • 通过结合节点嵌入和功能洞察来解决当前图形匹配技术的局限性.
    • 通过改进分子表示对齐来推进计算生物学和药物发现.

    主要方法:

    • 将图形表示为在米制空间中的概率分布.
    • 引入一种新的嵌入方案,考虑具有连续属性的直接和次要邻居.
    • 制定图形匹配作为一个最佳的运输问题.
    • 开发基于最佳传输的创新图核,以克服天真的聚合限制.

    主要成果:

    • 建议的基于运输的最佳图形对齐方法在六个基准数据集中的五个中超过了最先进的技术.
    • 该方法有效地从节点嵌入中捕获功能洞察力,提高图形匹配的准确性.
    • 在对准小生物分子的属性图表方面表现出卓越的性能.

    更多相关视频

    Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
    10:29

    Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

    Published on: May 9, 2025

    285
    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

    2.3K

    相关实验视频

    Last Updated: May 24, 2025

    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

    4.9K
    Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
    10:29

    Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

    Published on: May 9, 2025

    285
    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

    2.3K

    结论:

    • 基于最佳运输的新型图形对齐框架为分子分析提供了重大进展.
    • 这种方法提高了对蛋白质和酶等小分子的分类,这对于药物发现至关重要.
    • 这种方法有望通过提高向治疗和药物设计精度来彻底改变治疗进展.