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Updated: Jan 30, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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在癌症中使用机器学习,分子对接和动态模拟来计算识别潜在的MMP-2抑制剂

Sohail Akhtar1, Ahmed Ibrahim2, Ahmed M A Abdalla3

  • 1Health Information Management and Technology Department, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.

Computational biology and chemistry
|January 28, 2026
PubMed
概括

机器学习有效地确定了矩阵金属蛋白酶-2 (MMP-2) 的新型选择性抑制剂,这是癌症转移的关键目标. 化合物GK03418显示出有前途的结合稳定性和抗癌药物开发潜力.

关键词:
癌症 癌症 癌症 癌症模拟MD的模拟方法MM/PB(GB) SA/SA MM/PB(GB) SA/SA MM/PB) 的意思是说,它可以在任何地方进行交易.在MMP-2中,MMP-2是MMP-2的替代品.机器学习 机器学习分子对接是分子对接.对于PCA和FEL来说,这是一个很好的选择.虚拟选是一个虚拟的选.

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