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使用随机森林优化分子指纹增强HCV NS3抑制剂分类

Sema Atasever1

  • 1Department of Computer Engineering, Faculty of Engineering and Architecture, Nevsehir Haci Bektas Veli University, 50300 Nevşehir, Turkey.

International journal of molecular sciences
|March 27, 2025
PubMed
概括

机器学习模型使用优化的分子指纹准确地分类C型肝炎病毒 (HCV) NS3抑制剂. 这种计算方法增强了开发新抗病毒药物的虚拟查.

关键词:
在HCV NS3 抑制剂.在QSAR中使用QSAR.计算药物设计是指计算机设计的药物设计.机器学习是机器学习.分子描述器优化优化

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Protein synthesis is indispensable for viral replication, as viruses lack the cellular machinery required for this process and must hijack the host's translational apparatus. In response, host cells deploy a critical innate immune defense involving interferons, specialized cytokines that play a central role in inhibiting viral propagation.Upon viral detection, infected cells release interferons that bind to receptors on adjacent uninfected cells, activating the JAK-STAT signaling pathway and...
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