相关实验视频
Updated: May 15, 2025

11:32
Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
Published on: May 24, 2017
11.9K
采访对比学习和miRNA融合用于在异质图中预测lncRNA-蛋白相互作用
Yijun Mao1,2, Jiale Wu1, Jian Weng3
1College of Mathematics and Informatics, South China Agricultural University, 483 Wushan Road, Tianhe District, GuangZhou 510642, China.
Briefings in bioinformatics
|April 7, 2025
概括
一个新的模型,ICMF-LPI,使用miRNA融合和对比学习预测了长时间的非编码RNA-蛋白相互作用. 即使没有直接相互作用数据,它也表现出卓越的性能,有助于生物发现.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 预测长非编码RNA (lncRNA) - 蛋白相互作用 (LPIs) 对于理解细胞机制和识别治疗点至关重要.
- 现有的方法面临挑战,特别是当直接相互作用数据稀缺时.
研究的目的:
- 开发一种新的模型,ICMF-LPI,用于增强LPI预测.
- 利用异质信息网络,miRNA调解和对比学习来提高准确性.
主要方法:
- 构建了一个异构的信息网络,包括一个lncRNA-miRNA-蛋白质网络.
- 采用元路分析来从网络中提取关系.
- 利用面试对比学习和miRNA融合来捕捉相互作用.
主要成果:
- 在五倍交叉验证中,ICMF-LPI在最先进的方法中表现优越.
- 在ROC曲线下的面积 (AUC) 和精度召回曲线下的面积 (AUPRC) 中取得了显著的改进.
- 即使当直接LPI数据被排除在外时,也保持了竞争性的准确性,超过了一些现有的模型.
结论:
- ICMF-LPI模型有效地预测LPIs,为生物洞察提供了强大的方法.
- 该模型在数据稀缺场景中的能力突出显示了其在挑战生物信息学问题的潜力.
- 这项工作为在计算生物学中开发预测模型提供了一个有希望的方向.
相关概念视频
Protein Networks
3.9K
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,...
3.9K
Protein-protein Interfaces
12.4K
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...
12.4K
lncRNA - Long Non-coding RNAs
8.4K
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...
8.4K
MicroRNAs
2.9K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
2.9K
Tagging and Fusion Proteins
6.6K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
6.6K
Conserved Binding Sites
4.1K
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...
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...
4.1K

