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Updated: May 7, 2026

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
10:01

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通过具有新型内核功能和全面学习PSO的强大的SVM预测碳醇衍生化合物的抗试体效应

Wenzhe Dong1, Peijian Zhang1

  • 1College of Computer Science and Technology, Qingdao University, Qingdao, Shandong Province, China.

Antimicrobial agents and chemotherapy
|May 29, 2024
PubMed
概括

这项研究开发了先进的定量结构-活性关系 (QSAR) 模型,以预测碳醇化合物的抗三体活性. 一种新的非线性组合混合核功能支持向量机 (NLMIX-SVM) 模型显示了药物发现的卓越预测性能.

关键词:
在 CatBoost 中使用 CatBoost.在Trypanosoma brucei的研究中.碳醇衍生化合物 碳醇衍生化合物综合学习 粒子群集优化 粒子群集优化定量结构 活动关系支持向量的回归.

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