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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...
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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...
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相关实验视频

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A Protocol for Computer-Based Protein Structure and Function Prediction
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通过AlphaFold2人类蛋白质组进行基准反向对接.

Qing Luo1, Sheng Wang2, Hoi Yeung Li3

  • 1Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.

Protein science : a publication of the Protein Society
|September 14, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了11个反向对接管道来预测药物目标. Glide_SFCT (PS) 管道表现最好,改善了药物发现和安全性评估.

关键词:
发现药物的发现.药物目标相互作用人类蛋白质组人类蛋白质组反向对接的反向对接目标预测目标预测

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科学领域:

  • 计算化学是一种计算化学.
  • 药理学 药理学是指药理学的学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 反向对接可以预测用于药物重新定位和安全性评估的联体蛋白相互作用.
  • 了解非目标效应和毒性对于药物开发至关重要.

研究的目的:

  • 构建和基准测试11个反向对接管道,以预测与人体蛋白质组的连接体相互作用.
  • 确定最有效的管道,以准确预测药物标.

主要方法:

  • 集成的网站预测工具 (PointSite,SiteMap),对接程序 (Glide,AutoDock Vina) 和评分功能 (Glide,AutoDock Vina,RTMScore,DeepRMSD,OnionNet-SFCT) 提供了一个完整的网站预测工具.
  • 通过使用AlphaFold2人类蛋白质组模型,对11个不同的反对接管道进行了基准测试.
  • 根据目标预测准确度评估管道性能.

主要成果:

  • 在预测潜在的药物点方面,Glide_SFCT (PS) 管道表现出卓越的性能.
  • 在对抗人类蛋白质组的前100名排名预测中取得了27.8%的成功率.
  • 成功地缩小了人类庞大的蛋白质组中的潜在目标.

结论:

  • Glide_SFCT (PS) 管道为药物标预测,非标评估和毒性评估提供了坚实的基础.
  • 这种方法通过提高效率和安全性来加速药物发现和开发.
  • 促进新型治疗剂的识别,并提高药物安全性.