翻译后修改的新兴趋势:对多形质母细胞瘤进行阐明
Smita Kumari1, Rohan Gupta2, Rashmi K Ambasta3
1Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological, University, India.
Biochimica et biophysica acta. Reviews on cancer
|October 20, 2023
概括
翻译后修饰 (PTMs) 是质母细胞瘤多种 (GBM) 发展的关键. 使用人工智能准PTM酶为GBM提供了新的治疗策略.
科学领域:
- 在瘤学瘤学.
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
背景情况:
- 多学科研究表明,翻译后修饰 (PTM) 在多形质母细胞瘤 (GBM) 的进展和发病过程中至关重要.
- PTMs调节瘤信号传递,染色体结构,基因表达和瘤微环境 (TME),影响瘤发生.
研究的目的:
- 解释蛋白质修饰在GBM病因学和细胞生物学中的作用.
- 突出 PTM 酶作为 GBM 中药物向的治疗生物标志物.
- 讨论人工智能 (AI) 和机器学习 (ML) 在GBM的PTM研究中的应用.
主要方法:
- 综述多omics数据 (蛋白质学,转录学,基因组学,代谢学).
- 在GBM病原体中分析PTM机制.
- 探索用于PTM酶和残留物识别的AI/ML算法.
主要成果:
- PTMs显著影响GBM细胞生物学,包括染色体重塑,TME调制和信号通路.
- PTM酶代表了针对性GBM治疗的有前途的生物标志物.
- 人工智能和机器学习增强了在GBM中发现新的PTM相关目标的发现.
结论:
- 了解PTM对于推进GBM疗法至关重要.
- PTM酶作为重要的治疗点和生物标志物.
- 人工智能和ML的整合加速了基于PTM的药物发现,用于治疗多型质母细胞瘤.
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