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基于药效团的虚拟筛选、分子对接研究以设计有效的热休克蛋白90抑制剂。

Pharmacophore based virtual screening, molecular docking studies to design potent heat shock protein 90 inhibitors.

作者信息

Sakkiah Sugunadevi, Thangapandian Sundarapandian, John Shalini, Lee Keun Woo

机构信息

Division of Applied Life Science (BK21 Program), Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Department of Chemistry and Research Institute, Gyeongsang National University (GNU), 900 Gazwa-dong, Jinju 660-701, Republic of Korea.

出版信息

Eur J Med Chem. 2011 Jul;46(7):2937-47. doi: 10.1016/j.ejmech.2011.04.018. Epub 2011 Apr 15.

Abstract

The identification of important chemical features of Heat Shock Protein 90 (HSP90) inhibitors will be helpful to discover the potent candidate to inhibit the HSP90 activity. The best hypothesis from Hip-Hop, Hypo1, one hydrogen bond donor (HBD), two hydrogen bond acceptors (HBA), and two hydrophobic (H) and structure-based hypothesis, SB_Hypo1, one HBA, one HBD and four H features, were generated using Discovery Studio and LigandScout, respectively. Test and decoy sets were used to corroborate the best hypotheses and the validated hypotheses were used to screen the chemical databases. Subsequently, the screened compounds were filtered by applying the rule of five, ADMET and molecular docking. Finally, four compounds were obtained as novel leads to inhibit the HSP90 activity.

摘要

鉴定热休克蛋白90(HSP90)抑制剂的重要化学特征将有助于发现抑制HSP90活性的有效候选物。分别使用Discovery Studio和LigandScout生成了来自Hip-Hop的最佳假设Hypo1(一个氢键供体(HBD)、两个氢键受体(HBA)和两个疏水(H))以及基于结构的假设SB_Hypo1(一个HBA、一个HBD和四个H特征)。测试集和诱饵集用于证实最佳假设,经过验证的假设用于筛选化学数据库。随后,通过应用五规则、ADMET和分子对接对筛选出的化合物进行过滤。最后,获得了四种化合物作为抑制HSP90活性的新型先导物。

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