虚拟查方法的比较数据分析,用于预测尿素抑制活性

Elizabeth Valdés-Muñoz1,2, Gabriel J Olguín-Orellana3, Sofía E Ríos-Rozas2

  • 1Doctorate in Translational Biotechnology, Center for Biotechnology of Natural Resources, Universidad Catolica del Maule, Talca 3480094, Chile.

ACS omega
|November 3, 2025
PubMed
概括

这项研究通过比较对接和数据融合方法来优化基于结构的虚拟选 (SBVS) 药物发现. 合并对接 (ED) 和分子力学/通用化天生的表面积 (MM-GBSA) 显示出最佳的化合物排名,最小的数据融合证明是最强大的.

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