Dynamic pharmacophore model optimization: Identification of novel HIV-1 integrase inhibitors
Dynamic pharmacophore model optimization: Identification of novel HIV-1 integrase inhibitors
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DOI:
10.1021/jm0510629
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发表时间:
2006-03-09
影响因子:
7.3
通讯作者:
Briggs, JM
中科院分区:
文献类型:
--
作者:
Deng, JX;Sanchez, T;Briggs, JM
We extended the previously described dynamic pharmacophore model studies of HIV-1 integrase (IN) by considering more key residues in the active site, including Mg2+. First, we applied a Monte Carlo sampling method to map the complementary features of the IN binding surface. Two types of dynamic pharmacophore models were generated. One considers Mg2+ as part of the IN and therefore as an excluded volume, and the other treats Mg2+ as a positively charged feature, representing a new type of pharmacophore model aimed to identify compounds potentially preventing Mg2+ binding. Second, we validated the models with 385 known active (IC50 < 20 mu M) and 235 (IC50 > 100 mu M) inactive IN inhibitors. Third, we used the derived models to screen our small molecule database. Twenty-two structurally novel compounds were tested in an in vitro assay specific for IN, and two of them showed IC50