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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

3.5K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Protein and Protein Structures02:15

Protein and Protein Structures

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Directing Proteins to the Rough Endoplasmic Reticulum01:34

Directing Proteins to the Rough Endoplasmic Reticulum

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The organelle-specific signaling sequences direct proteins synthesized in the cytosol to their final destination like ER, mitochondria, peroxisomes, etc. Some of the proteins directed to ER are then trafficked via vesicles to other organelles within the cell or the extracellular environment through the Golgi complex. For example, the rough ER synthesizes soluble proteins for transportation to the lysosomes or secretion out of the cell. It can also synthesize transmembrane proteins that can...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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Structure and Organization of Smooth Muscles01:13

Structure and Organization of Smooth Muscles

5.5K
Smooth muscle tissue is a type of muscle tissue that can be found lining various vital organs in the human body, including the lungs, blood vessels, digestive tract, and respiratory tract. This type of tissue is responsible for regulating the movements of these organs, playing crucial roles in the functioning of various systems, including the vascular, digestive, respiratory, and urinary systems.
Structure of smooth muscle cell
Smooth muscle cells are spindle-shaped with tapering ends and a...
5.5K
Termination of Translation01:44

Termination of Translation

25.3K
The large ribosomal subunit has several important structures essential to translation. These include the peptidyl transferase center (PTC) - which is the site where the peptide bond is formed - and a large, internal, water-filled tube through which the nascent polypeptide moves. This latter structure is called the Peptide Exit Tunnel, and it begins at the PTC and spans the body of the large ribosomal subunit. During translation, as the nascent polypeptide chain is synthesized, it passes through...
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Updated: Jun 16, 2025

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data

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深度非刚性结构-从-运动:一个序列到序列翻译视角.

Hui Deng, Tong Zhang, Yuchao Dai

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    此摘要是机器生成的。

    本研究引入了一种使用深度学习的非刚性结构从运动 (NRSfM) 的新型序列对序列方法. 该方法通过考虑时间动态,从二维序列中重建3D形状,优于现有技术.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 三维重建的3D重建

    背景情况:

    • 传统的非刚性结构-从-运动 (NRSfM) 方法经常单独处理2D,忽视了问题的固有时空性质.
    • 对的3D重建管道忽略了对准确NRSfM至关重要的顺序数据结构.

    研究的目的:

    • 开发一个自主监督的,序列对序列的深度学习框架,用于非刚性结构-从-运动 (NRSfM).
    • 通过将2D关键点序列作为一个整体来处理3D重建来解决对重建的局限性.

    主要方法:

    • 采用序列对序列翻译视角,利用形状运动预测器进行初始的3D形状和运动估计.
    • 引入一种具有多头注意力 (MHA) 和时间编码的新型上下文层,以强加自我表达规律性和序列级限制.
    • 自主监督学习方法从输入的2D关键点序列中重建3D关键点序列.

    主要成果:

    • 拟议的框架在3D重建非刚性结构-从-运动 (NRSfM) 中表现出卓越的性能.
    • 包括Human3.6M,CMU Mocap和InterHand在内的各种数据集的实验验证证证了该方法的有效性.
    • 该方法通过利用时空信息和深度学习约束来成功重建3D序列.

    结论:

    • 序列对序列深度学习方法为NRSfM提供了比传统的框架对框架方法更有效的解决方案.
    • 语境层有效地整合了结构特征和时间动态,以提高3D重建的准确性.
    • 自主监督框架提供了一种强大的方法,用于从单眼2D序列重建非刚性3D结构.