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相关概念视频

Nucleic Acid Structure01:25

Nucleic Acid Structure

7.0K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
7.0K
RNA Structure01:23

RNA Structure

72.4K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
72.4K
Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
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...
4.4K
Nucleic Acids02:43

Nucleic Acids

45.2K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
45.2K
RNA-seq03:21

RNA-seq

10.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K
RNA Stability01:53

RNA Stability

33.9K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
33.9K

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相关实验视频

Updated: Sep 11, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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基于综合序列结构功能预训的蛋白质结合RNA预测.

Lin Gan, Xinyi Wang, Yi Zhou

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了MTP-RBP,这是一种用于预测RNA结合蛋白 (RBP) 的新计算方法. 通过整合多层次RNA信息,MTP-RBP提高了准确性,特别是在有限的数据中.

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    Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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    Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

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    Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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    Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

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    相关实验视频

    Last Updated: Sep 11, 2025

    RNA Secondary Structure Prediction Using High-throughput SHAPE
    13:42

    RNA Secondary Structure Prediction Using High-throughput SHAPE

    Published on: May 31, 2013

    31.7K
    Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
    11:34

    Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

    Published on: August 9, 2019

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    Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
    10:52

    Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

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    科学领域:

    • 计算生物学是一种计算生物学.
    • 分子生物学分子生物学
    • 生物信息学是一种生物信息学.

    背景情况:

    • RNA结合蛋白 (RBPs) 是生物功能的重要调节者.
    • 高通量实验产生了大量的RNA相互作用数据.
    • 现有的计算方法在整合多层次语义信息和在小数据集上准确预测方面面临挑战.

    研究的目的:

    • 开发一种先进的计算方法,MTP-RBP,用于改进RNA结合蛋白质的预测.
    • 增强从RNA序列的多层次语义信息的整合.
    • 提高预测准确度,特别是对于小样本数据集.

    主要方法:

    • MTP-RBP采用强大的预训练编码器进行多任务预训练.
    • 它从RNA序列中提取深层次的上下文信息.
    • 通过掩面语言建模,二级结构构建和绑定函数预测预训任务,结合结构和功能RNA知识.

    主要成果:

    • 在RBP预测方面,MTP-RBP展示了最先进的性能.
    • 它超越了现有的基线和RNA语言模型.
    • 实现卓越的准确性,特别是在小型数据集上.

    结论:

    • MTP-RBP有效地融合了多级RNA特征,以提高预测.
    • 该方法在计算RBP识别中提供了显著的进步.
    • 它为分析RNA-蛋白相互作用提供了更准确和更强大的工具.