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Updated: Jun 1, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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腺素受体抑制剂的一般结构-活性关系模型:一种机器学习方法

M Janbozorgi1, S Kaveh1, M S Neiband2

  • 1Chemometrics and Cheminformatics Laboratory, Department of Analytical Chemistry, Tarbiat Modares University, Tehran, Iran.

Molecular diversity
|January 20, 2025
PubMed
概括

本研究使用机器学习确定了选择性腺氨酸受体抑制剂的关键分子特征. 这些发现有助于通过改善药物设计来开发针对炎症和癌症的向治疗方法.

关键词:
腺氨酸受体的受体分类模型的分类模型.选择性的腺素受体配体.结构活动关系 结构活动关系

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