相关实验视频
EvoWeaver:从共同进化的信号中大规模预测基因功能关联
Aidan H Lakshman1, Erik S Wright2,3
1Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Nature communications
|April 24, 2025
概括
EvoWeaver使用12个共同进化的信号来链接蛋白质,提高功能注释的准确性. 这种计算方法重建了生物化学路径,并揭示了新的蛋白质连接,推动了生物发现.
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
- 基因组学就是基因组学.
背景情况:
- 没有特征的蛋白质的快速扩张超过了通过实验室方法的功能注释.
- 目前的计算注释依赖于相似性,忽视了新型蛋白质.
- 现有的共同进化算法对于全面的蛋白质宇宙分析缺乏准确性和可扩展性.
研究的目的:
- 开发一种可扩展和准确的计算方法来推断蛋白质的功能和关系.
- 通过识别新的功能链接,提高对"蛋白质宇宙"的理解.
- 为了克服蛋白质注释中现有的共同进化算法的局限性.
主要方法:
- 开发EvoWeaver,一种新的方法,集成12种不同的共同进化信号.
- 使用EvoWeaver对基因之间共享的进化历史的量化.
- 应用EvoWeaver对大规模的基因组数据集 (1545个基因组,8564个基因组).
主要成果:
- 埃沃韦弗精确地识别了复杂物和生物化学途径中的蛋白质.
- 仅使用基因组序列数据,成功重建已知的生物化学途径.
- 在流行的蛋白质数据库中识别以前未被识别的连接.
结论:
- EvoWeaver在计算蛋白质注释和功能推理方面取得了重大进展.
- 该方法增强了功能关系和非特征蛋白质链接的发现.
- EvoWeaver提供了一个强大的工具,用于探索蛋白质宇宙中的"因关联而导致的内".
相关概念视频
Evolutionary Relationships through Genome Comparisons
5.6K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.6K
Genome-wide Association Studies-GWAS
12.1K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
12.1K
Gene Evolution - Fast or Slow?
2.8K
2.8K
Synteny and Evolution
3.1K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.1K
Genome Size and the Evolution of New Genes
7.8K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
7.8K
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