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首页> 外文期刊>European journal of pharmaceutical sciences >3D-QSAR (CoMFA, CoMFA-RG, CoMSIA) and molecular docking study of thienopyrimidine and thienopyridine derivatives to explore structural requirements for aurora-B kinase inhibition
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3D-QSAR (CoMFA, CoMFA-RG, CoMSIA) and molecular docking study of thienopyrimidine and thienopyridine derivatives to explore structural requirements for aurora-B kinase inhibition

机译:3D-QSAR(CoMFA,CoMFA-RG,CoMSIA)和噻吩并嘧啶和噻吩并吡啶衍生物的分子对接研究,以探索抑制极光B激酶的结构要求

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Aurora-B kinase plays a crucial role in cell cycle events and is identified as an important factor in regulation of spindle check point assembly. Thus, it can be proved as an important target in the field of oncology. 3D-QSAR modelwas generated using 54 molecules reported in literature containing thienopyrimidine and thienopyridine as scaffolds. All molecules were aligned using Distill function in Sybyl X1.2. This generated best model of CoMFA-RG (Region focusing) and CoMSIA were statistically significant with correlation coefficient r(ncv)(2) of 0.97, for both&Leave one out coefficient (LOO) q(2) of 0.70 and 0.72, respectively. Best CoMSIA model was built up using various combination of descriptors and proved statistical significant among all models. Best CoMFA-RG and CoMSIA models were validated by 12 test set molecules giving satisfactory prediction (r(pred)(2)) values of 0.86 and 0.88, respectively. External test set validation was performed using 20 molecules and satisfactory prediction of their biological activity was found. Active compounds were docked on protein (PDB ID: 4C2V) by GOLD module and revealed important interactions with amino acids at ATP-binding region. These data explored insight requirements for Aurora-B inhibition which might be fruitful for understanding mechanisms with kinase ligand interactions. (C) 2015 Elsevier B.V. All rights reserved.
机译:Aurora-B激酶在细胞周期事件中起着至关重要的作用,被认为是调节纺锤体检查点装配的重要因素。因此,可以证明它是肿瘤学领域的重要目标。 3D-QSAR模型是使用文献报道的54种分子生成的,这些分子含有噻吩并嘧啶和噻吩并吡啶作为支架。所有分子在Sybyl X1.2中使用Distill函数进行比对。生成的CoMFA-RG(区域聚焦)和CoMSIA的最佳模型在统计系数上具有显着性,相关系数r(ncv)(2)为0.97,而单独留出系数(LOO)q(2)分别为0.70和0.72。最佳的CoMSIA模型是使用描述符的各种组合构建的,并在所有模型中证明具有统计学意义。最佳CoMFA-RG和CoMSIA模型通过12个测试集分子进行了验证,分别给出令人满意的预测(r(pred)(2))值为0.86和0.88。使用20个分子进行了外部测试集验证,并发现了其生物学活性的令人满意的预测。活性化合物通过GOLD模块固定在蛋白质(PDB ID:4C2V)上,并揭示了与ATP结合区氨基酸的重要相互作用。这些数据探索了对Aurora-B抑制的洞察要求,这可能对于理解与激酶配体相互作用的机制很有用。 (C)2015 Elsevier B.V.保留所有权利。

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