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相关概念视频

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.1K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
8.1K
Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

6.3K
In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
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Conserved Binding Sites01:49

Conserved Binding Sites

5.0K
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...
5.0K
Membrane Asymmetry Regulating Transporters01:19

Membrane Asymmetry Regulating Transporters

6.9K
Enzymes like flippase, floppase, and scramblase transfer phospholipids from one layer to another in the membrane, thereby affecting membrane asymmetry.
Flippase
Eukaryotic flippases are type-IV P-type ATPases or P4-ATPases belonging to P-type ATPase family proteins that are membrane-bound pumps involved in the ATP-mediated transport of ions and molecules across the membrane. Flippases flip specific phospholipids from the outer to the inner leaflet of a membrane. All P4-ATPases have one...
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相关实验视频

Updated: Jan 8, 2026

Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers
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Construction of Cyclic Cell-Penetrating Peptides for Enhanced Penetration of Biological Barriers

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一个多模式的对比学习框架,用于周期性的透性预测.

Shuwen Xiong, Feifei Cui, Zilong Zhang

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    此摘要是机器生成的。

    MCPerm是一个新的深度学习模型,通过整合各种分子数据,准确地预测循环的透性. 这种计算框架加速了细胞透性治疗的发现.

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    科学领域:

    • 计算化学是一种计算化学.
    • 药物发现 药物发现
    • 生物技术是生物技术.

    背景情况:

    • 循环是一种日益增长的治疗类.
    • 预测细胞膜透性对于药物疗效至关重要,但具有挑战性.
    • 当前的计算方法在循环中的多样化结构信息上扎.

    研究的目的:

    • 开发一个准确的计算框架来预测循环细胞膜的透性.
    • 使用深度学习整合1D,2D和3D分子信息.
    • 为了加速细胞透性循环类药物的合理设计.

    主要方法:

    • 介绍了MCPerm,一个多模式深度学习框架.
    • 集成的1D SMILES,2D拓和3D几何数据.
    • 使用了一种新的模式,分享和对比的学习策略.
    • 微调了一个预训练的化物语言模型,并使用了图形变压器.
    • 使用双重对比学习来实现表示一致性.

    主要成果:

    • 在PAMPA数据集上,MCPerm实现了最先进的性能.
    • 在透性预测方面显著优于现有的领先方法.
    • 在Caco-2,MDCK和RRCK测定中表现出强度和可转移性.
    • 基于注意力的可视化显示,模型学到了关键的化学原理.

    结论:

    • MCPerm提供了一个强大的in silico框架,用于预测循环的透性.
    • 该模型加速了有效治疗的设计和发现.
    • MCPerm提供了关于透性的化学基础的见解,超越了黑子方法.