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Discovery of novel small-molecule inhibitors of human epidermal growth factor receptor-2: Combined ligand and target-based approach

机译:人表皮生长因子受体2的新型小分子抑制剂的发现:结合配体和基于目标的方法

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摘要

Consensus virtual screening models were generated and validated utilizing a set of known human epidermal growth factor receptor-2 (HER2) inhibitors and modeled HER2 active and inactive state structures. The virtual screening models were successfully employed to discover a set of structurally diverse compounds with growth inhibitory activity against HER2-overexpressing SKBR3 breast cancer cell line. A search of a 3D database containing 350000 small-molecules using the consensus models retrieved 531 potential hits. Of the 531 hits, 57 were selected for testing in SKBR3 cells on the basis of structural novelty and desirable drug-like properties. Seven compounds inhibited growth of SKBR3 cells with IC50 values <10 mu M. These lead compounds have desirable physicochemical properties and are excellent candidates for further optimization.
机译:使用一组已知的人类表皮生长因子受体2(HER2)抑制剂和模拟的HER2活性和非活性状态结构,生成并验证了共识虚拟筛选模型。虚拟筛选模型已成功用于发现一组结构多样的化合物,这些化合物具有针对过表达HER2的SKBR3乳腺癌细胞系的生长抑制活性。使用共有模型搜索包含350,000个小分子的3D数据库,检索到531个潜在命中值。基于结构新颖性和理想的药物样特性,在531个命中中选择了57个在SKBR3细胞中进行测试。七种化合物抑制SKBR3细胞的生长,IC50值小于10μM。这些先导化合物具有理想的理化性质,是进一步优化的极佳候选物。

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