基于交叉链接和免疫沉 (CLIP-Seq) 数据的 lncRNA-蛋白相互作用预测
Gourab Das1, Troyee Das1, Zhumur Ghosh1
1Department of Biological Sciences, Bose Institute, Unified Academic Campus, Kolkata 700 091, West Bengal, India.
Briefings in bioinformatics
|August 21, 2025
概括
我们开发了一个机器学习工具LncPTPred,用于预测长非编码RNA (lncRNA) - 蛋白相互作用 (LPI). 这种计算方法加速了LPI的发现,优于现有的方法,并指导实验验证.
科学领域:
- 分子生物学
- 生物信息学
- 计算生物学
背景情况:
- 长非编码RNA (lncRNA) - 蛋白相互作用 (LPI) 是细胞过程的关键调节者.
- 实验性识别LPI需要大量的资源和时间.
- 在Silico预测提供了一个有效的替代方法来识别LPIs.
研究的目的:
- 开发基于最先进的机器学习 (ML) 算法来预测LPI.
- 在交叉链接免疫沉测序 (CLIP-Seq) 数据中识别隐藏的模式,以提高预测准确度.
- 为预测LPI提供一个用户友好的工具.
主要方法:
- 使用CLIP-Seq数据来识别训练ML模型的模式.
- 开发和训练了基于ML的LPI预测算法.
- 与当代预测工具对比开发模型的性能.
主要成果:
- 与现有的LPI预测工具相比,开发的ML模型显示出更高的性能.
- 该工具成功识别了 lncRNA 位点内的相互作用段.
- 该工具可以作为一个Web服务器和一个独立的版本.
结论:
- 该工具提供了有效和准确的LPI预测方法.
- 已识别的相互作用部分可以指导LPI的实验验证.
- 这种计算方法加速了生物系统中 lncRNA 功能的研究.
更多相关视频
10:05Visualization of Protein-protein Interaction in Nuclear and Cytoplasmic Fractions by Co-immunoprecipitation and In Situ Proximity Ligation Assay
Published on: January 16, 2017
12.9K
05:43A Protein Preparation Method for the High-throughput Identification of Proteins Interacting with a Nuclear Cofactor Using LC-MS/MS Analysis
Published on: January 24, 2017
8.5K
相关概念视频
Protein Networks
4.1K
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,...
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,...
4.1K
Protein-protein Interfaces
13.2K
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...
13.2K
lncRNA - Long Non-coding RNAs
8.9K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.9K
