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开发FGFR-1抑制剂的预测QSAR模型:集成计算和实验验证.

Sandip D Nagare1, Sharav A Desai2, Vipul P Patel1

  • 1Department of Pharmaceutical Biotechnology, Sanjivani College of Pharmaceutical Education and Research, Savitribai Phule Pune University, Kopargaon, Maharashtra, 423603, India.

Journal of computer-aided molecular design
|October 4, 2025
PubMed
概括

这项研究开发了一个计算模型来预测纤维细胞生长因子受体1 (FGFR-1) 抑制剂用于癌症治疗. 油酸显示出具有低毒性的有希望的抑制作用,提高了药物发现效率.

关键词:
抗癌药物 抗癌药物 抗癌药物药物设计 药物设计在FGFR-1中.在体外验证验证.机器学习是机器学习.在QSAR中使用QSAR.

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