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伯特:一种自我监督的学习模型,用于识别感染SARS-CoV-2的人类细胞中的酸化位

Yong Li¹, Ru Gao², Shan Liu³

¹Sichuan Vocational College of Health and Rehabilitation, Zigong 643000, Sichuan, China.

Methods (San Diego, Calif.)

|August 23, 2024

概括

一个新的计算模型,PhosBERT,准确地识别了宿主细胞中SARS-CoV-2感染的酸化部位. 这个工具有助于理解COVID-19机制和抗病毒药物发现.

科学领域:

计算生物学计算生物学
病毒学病毒学
生物化学生物化学

背景情况:

严重急性呼吸道综合征冠状病毒2 (SARS-CoV-2) 导致COVID-19,导致宿主细胞中的蛋白质转化后修饰失调.
了解这些修饰,特别是酸化部位,对于阐明SARS-CoV-2病原体和确定抗病毒疗法至关重要.

研究的目的:

开发一种具有成本效益和高精度的计算策略,用于识别感染SARS-CoV-2的酸化部位.
增强对分子水平上病毒与宿主相互作用的理解.

主要方法:

基于预先训练的蛋白质语言模型ProtBert的自定义神经网络模型PhosBERT的实现.
使用五倍交叉验证的血清 (S),氨酸 (T) 和氨酸 (Y) 酸化数据集进行培训和验证.

主要成果:

在识别S/T酸化位点方面,PhosBERT实现了高精度 (81.9%的精度,0.896 AUC).
对于Y酸化位点,PhosBERT的预测准确度很高 (87.1%准确度,0.902 AUC).
该模型在独立验证中表现出良好的预测能力和稳定性.

结论:

PhosBERT提供了一种新且有效的计算方法,用于研究SARS-CoV-2相关的酸化部位.
这种工具可以为了解COVID-19机制并加速抗病毒药物查做出重大贡献.

关键词:

语言建模语言建模酸化部位是酸化的位置.这就是SARS-CoV-2病毒.自主监督学习学习变压器变压器变压器

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相关概念视频

Protein Kinases and Phosphatases

Protein Kinases and Phosphatases

Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...

Phosphorylation

Phosphorylation

The addition or removal of phosphate groups from proteins is the most common chemical modification that regulates cellular processes. These modifications can affect the structure, activity, stability, and localization of proteins within cells as well as their interactions with other proteins.
During phosphorylation, protein kinases transfer the terminal phosphate group of ATP to specific amino acid side chains of substrate proteins. Serine, threonine, and tyrosine are the most commonly...