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相关概念视频

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

5.4K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
5.4K
Diffusion01:12

Diffusion

215.7K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
215.7K
Diffusion01:21

Diffusion

6.1K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.1K
Molecular Models02:00

Molecular Models

43.4K
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.
43.4K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.1K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.1K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

315
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
315

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相关实验视频

Updated: Jan 10, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

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ProtoDiff:为少数拍摄的分子图像生成的原型扩散模型.

Wenhao Zheng, Peidong Liu, Hanwen Zhang

    IEEE transactions on computational biology and bioinformatics
    |November 28, 2025
    PubMed
    概括

    ProtoDiff利用扩散模型来生成少数拍摄的分子图像,提取原型来指导该过程. 这种方法通过专注于化学键来增强分子发现,实现最先进的结果.

    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
    • 机器学习用于分子生成.

    背景情况:

    • 药物发现依赖于产生具有特定性质的分子.
    • 扩散模型在连续数据方面表现出色,但在离散分子数据方面却扎不堪,特别是在短暂的场景中.
    • 现有的方法在生成有限数据的分子表示,如图形和SMILES字符串等方面面临挑战.

    研究的目的:

    • 探索用于生成连续分子表示的扩散模型,特别是分子图像.
    • 介绍ProtoDiff,一种基于扩散的新方法,用于几次拍摄的分子图像生成.
    • 为了解决当前模型在处理有限数据的局限性,用于分子生成任务.

    主要方法:

    • ProtoDiff将分子图像生成视为几次可控生成问题.
    • 它从有限的分子组中提取原型,以指导生成过程.
    • 引入了一种新的稀疏度规范化,以强调有意义的像素,特别是化学键.

    主要成果:

    • 在ChEMBL数据集上训练和评估ProtoDiff.
    • 该方法在大多数分子生成任务上取得了新的最先进的结果.
    • 在分子图像生成的少数拍摄学习场景中证明了有效性.

    更多相关视频

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    10:20

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

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    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
    15:10

    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope

    Published on: October 9, 2014

    11.8K

    相关实验视频

    Last Updated: Jan 10, 2026

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
    06:55

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

    Published on: September 26, 2016

    8.4K
    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
    10:20

    Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

    Published on: September 5, 2019

    8.7K
    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope
    15:10

    From Fast Fluorescence Imaging to Molecular Diffusion Law on Live Cell Membranes in a Commercial Microscope

    Published on: October 9, 2014

    11.8K

    结论:

    • 扩散模型显示出产生分子图像的前景,即使数据有限.
    • 通过利用原型和稀疏度规范化,ProtoDiff提供了一种有效的方法来进行少数拍摄的分子生成.
    • 这些发现推动了人工智能的潜力,加速了新型治疗化合物的识别.