Ji Qing, Zhou Yuan, Peng Hui, Huang Niu, Qi Jing, Xiong Dong-sheng, Gao Ying-dai, Yang Ming, Yang Chun-zheng
State Key Laboratory of Hematology, Institute of Hematology, CAMS and PUMC, Tianjin 300020, China.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2007 Jun;29(3):347-52.
To explore the design and activity determination of small molecular inhibitors of integrin alphavbeta3 through structure-based virtual screening.
Based on the crystal structure of integrin ctv33 extracellular segment in complex with an ARG-GLY-ASP ligand, docking procedure against the receptor binding domain was performed on 3D database. Integrin alphavbeta3-mediated cell adhesion assay was performed to assess the adhesion-inhibiting ability of the candidate compounds. Cell migration assay and capillary-structure-like formation inhibition assay were used to estimate the effects of the compounds on integrin alphavbeta3. Analysis of molecular graphics was carried out to deduce a probable binding model of compound with integrin alphavbeta3.
From the top 1000 compounds with the best DOCK energy score, 50 compounds were selected for biological assay based on chemical and drug-like diversity. Seven of 50 compounds showed notable inhibition activity on cell adhesion, and two with half-maximum inhibition concentration (IC50) values less than 100 mol/L. The compound with best activity (1-37) showed high inhibitory activity in cell migration assay and capillary-structure-like formation inhibition assay. Molecular graphics analysis indicated that metal ion-dependent adhesion site (MIDAS) might be involved in the compound 1-37-mediated inhibition of ligand binding with integrin alphavbeta3.
Through virtual screening combined with biological assay, a promising lead compound was discovered to inhibit integrin alphavbeta3, which embodies the rational drug design with computation aid and brings a new thought and approach to find novel inhibitors of integrin.
通过基于结构的虚拟筛选探索整合素αvβ3小分子抑制剂的设计与活性测定。
基于整合素αvβ3胞外段与精氨酸 - 甘氨酸 - 天冬氨酸配体复合物的晶体结构,在三维数据库上对受体结合域进行对接程序。进行整合素αvβ3介导的细胞黏附试验以评估候选化合物的黏附抑制能力。使用细胞迁移试验和类毛细血管结构形成抑制试验来评估化合物对整合素αvβ3的作用。进行分子图形分析以推导化合物与整合素αvβ3可能的结合模型。
从对接能量得分最佳的前1000种化合物中,基于化学和类药多样性选择50种化合物进行生物学试验。50种化合物中有7种对细胞黏附显示出显著的抑制活性,其中两种的半数抑制浓度(IC50)值小于100 μmol/L。活性最佳的化合物(1 - 37)在细胞迁移试验和类毛细血管结构形成抑制试验中显示出高抑制活性。分子图形分析表明金属离子依赖性黏附位点(MIDAS)可能参与了化合物1 - 37介导的整合素αvβ3与配体结合的抑制作用。
通过虚拟筛选结合生物学试验,发现了一种有前景的整合素αvβ3抑制先导化合物,体现了计算机辅助的合理药物设计,为寻找新型整合素抑制剂带来了新的思路和方法。