相关概念视频
Rab Proteins
4.9K
Rab proteins constitute the largest family of monomeric GTPases, of which 70 members are present in humans. Rab proteins and their effectors regulate consecutive stages of vesicle transport such as vesicle transport, docking, and fusion to the correct recipient membrane.
Rab proteins switch between a cytosolic, GDP-bound inactive state and a membrane-anchored, GTP-bound active state. By themselves, Rabs show slow rates of GDP/GTP exchange and GTP hydrolysis. Thus, Rab proteins are considered...
Rab proteins switch between a cytosolic, GDP-bound inactive state and a membrane-anchored, GTP-bound active state. By themselves, Rabs show slow rates of GDP/GTP exchange and GTP hydrolysis. Thus, Rab proteins are considered...
4.9K
Protein Folding Quality Check in the RER
5.0K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
5.0K
Rab Cascades
3.4K
Rab GTPases act in a regulated cascade during membrane fusion, helping the lipid bilayers mix. The Rab family of proteins are active when bound to GTP, and inactive when bound to GDP. Hence, they act as guanine nucleotide-dependent molecular switches. Rab-GTP recognizes and binds to long or short-range tethering proteins to capture the target vesicle. These tethers coordinate with SNAREs on the vesicle and the target membrane to assemble the trans SNARE complex that locks the mixing bilayers.
3.4K
Ribosome Profiling
4.1K
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...
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...
4.1K
Protein Modifications in the RER
6.9K
Modification of secretory and transmembrane proteins entering the rough ER begins in the ER lumen. These modifications aid in protein folding and stabilize the acquired tertiary structure. Protein modifications in the rough ER co-occur at different stages of protein folding.
Broadly, these modifications can be categorized into four main categories — glycosylation, formation of disulfide bonds, assembly of protein subunits, and specific proteolytic cleavages like removal of signal...
Broadly, these modifications can be categorized into four main categories — glycosylation, formation of disulfide bonds, assembly of protein subunits, and specific proteolytic cleavages like removal of signal...
6.9K
Gene Families
9.8K
Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
9.8K
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生物R组数据集:在Rhea数据库中引用的ChEBI分子的R组扩展.
Guillaume Gricourt1, Jean-Loup Faulon2,3
1Université Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France. guillaume.gricourt@inrae.fr.
Scientific data
|October 28, 2025
概括
化学信息学中的人工智能需要完整的化学数据. 一个新的数据集,BioRGroup,将ChEBI的通用R组结构分解为特定的分子,以进行增强的计算分析.
科学领域:
- 化学信息学 化学信息学
- 计算化学计算化学
- 生物催化剂是一种生物催化剂.
背景情况:
- 化学信息学中的人工智能 (AI) 需要全面的化学数据集.
- 像Rhea (使用ChEBI本体学) 这样的专业数据库对于酶催化反应至关重要,但包含通用的R组结构.
- 这些通用结构阻碍了诸如逆生物合成和生物催化剂等计算应用.
研究的目的:
- 为了应对化学数据库中通用R组结构的挑战.
- 创建一个精心策划的数据集,解析R组,包含完全定义分子实例的条目.
- 在计算工作流程中增强未充分利用的化学信息的实用性.
主要方法:
- 从Rhea数据库中提取通用分子.
- 使用PubChem和RDKit识别兼容的替代品.
- 应用量身定制的过器来生成化学有效的分子计数.
- 在标准文件格式中创建BioRGroup数据集.
主要成果:
- 创建了一个新的策划数据集,BioRGroup.
- 包含R组的ChEBI条目被分解成特定的分子实例.
- 该数据集使以前未被充分利用的通用化学结构能够被整合.
结论:
- 生物RGroup数据集增强了化学数据分析的范围和细节性.
- 它有助于在人工智能驱动的化学信息学中使用专门的化学反应数据.
- 这项工作改善了用于逆生物合成和生物催化物的计算管道.


