人与病毒相互作用的结构信息图谱
Gorka Lasso1, Sandra V Mayer1, Evandro R Winkelmann1
1Department of Systems Biology, Columbia University Medical Center, New York, NY, USA; Department of Microbiology and Immunology, Columbia University Medical Center, New York, NY, USA.
Cell
|September 3, 2019
概括
一个新的计算框架预测了超过28万个病毒-人类蛋白-蛋白相互作用 (PPI),揭示了共享的病毒策略和宿主漏洞. 这种工具有助于了解病毒宿主动态,并识别潜在的治疗点.
科学领域:
- 病毒学
- 结构生物学
- 生物信息学
背景情况:
- 了解病毒-宿主蛋白-蛋白相互作用 (PPI) 对病毒学和疾病研究至关重要.
- 对于许多病毒,识别PPI的高吞吐量方法的可扩展性有限.
研究的目的:
- 开发和实施一个计算框架,P-HIPSTer,用于使用结构信息预测全病毒性人类PPI.
- 识别新型病毒与人类的相互作用,并了解人类感染病毒的共同和独特机制.
主要方法:
- 实施了一个in silico计算框架,P-HIPSTer (使用结构相似性的病原体宿主相互作用预测).
- 使用结构信息来预测人类病毒的PPI.
- 实验验证了一组预测的相互作用.
主要成果:
- 预测了大约282,000个泛病毒人类PPI,实验验证率约为76%.
- 在人类感染病毒中发现共享和独特的分子机制.
- 与病毒复制 (ZIKV-ESR1),致癌潜力 (HPV) 和人类蛋白质组的进化压力相关的特定PPI.
结论:
- P-HIPSTer 能够有效地预测人类病毒的 PPI,克服实验方法的可扩展性限制.
- 该框架提供了关于病毒与宿主相互作用,细胞电路和进化动态的见解.
- P-HIPSTer有助于研究实验性难治的病毒和识别新的生物机制.
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