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一组抗真菌唑类化合物作为潜在真菌酶靶标抑制剂的相互作用和结合模式的深入了解。

Insights into the interaction and binding mode of a set of antifungal azoles as inhibitors of potential fungal enzyme-based targets.

机构信息

Laboratorio de Química Bioorgánica, Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Cundinamarca, 49300, Colombia.

出版信息

Mol Divers. 2018 Nov;22(4):929-942. doi: 10.1007/s11030-018-9854-z. Epub 2018 Jun 29.

Abstract

Azole-containing compounds are a kind of chemical entities of natural and synthetic origin having a wide-range of activities. They are therefore considered as important moieties for fungicide development, mostly due to the possible action on several enzyme-based targets. As part of our research on fungicidal agents, the relationship between the ligand-enzyme affinities of several synthetic azole-containing compounds against a set of fungal enzyme-based targets was in silico evaluated through molecular docking. The affinity values of the test compounds were mostly higher than those of the respective test controls. Binding modes between enzymes and test compounds were firstly investigated through Vina scores and ligand-residue interactions. Furthermore, statistically relationships among docking scores were successfully found by multivariate analysis. They were mostly correlated with reported MIC values, so it denoted an evident discrimination of the test compounds. Strong electron withdrawing groups on phenylacrylamide moiety were responsible for establishing stronger complexes with the enzyme targets, being trichodiene synthase and α-L-fucosidase the most important ones. Moreover, stability of a set of representative protein/ligand complexes was also analyzed by 10 ns molecular dynamics simulations (MD). Significant differences into the MD runs were detected and directly correlated to docking performances. Finally, docking affinity scores and HOMO-LUMO energy gaps resulted well predicted by comparative molecular field analysis (CoMFA) models, demonstrating the structure type is particularly associated with those calculated properties and these results were thus consistent with the respective validation parameters.

摘要

含唑类化合物是一类具有广泛活性的天然和合成来源的化学实体。因此,它们被认为是开发杀菌剂的重要部分,主要是因为它们可能对几种基于酶的靶标起作用。作为我们对杀真菌剂研究的一部分,通过分子对接对一系列合成含唑类化合物对一组真菌酶靶标的配体-酶亲和力进行了计算机评估。测试化合物的亲和力值大多高于各自的测试对照物。通过 Vina 评分和配体残基相互作用首先研究了酶和测试化合物之间的结合模式。此外,通过多元分析成功地找到了对接分数之间的统计关系。它们与报道的 MIC 值大多相关,因此可以明显区分测试化合物。苯丙烯酰胺部分上的强吸电子基团负责与酶靶标建立更强的复合物,其中三烯合成酶和α-L-岩藻糖苷酶最为重要。此外,还通过 10ns 分子动力学模拟 (MD) 分析了一组代表性蛋白质/配体复合物的稳定性。在 MD 运行中检测到了显著的差异,并与对接性能直接相关。最后,比较分子场分析 (CoMFA) 模型很好地预测了对接亲和力分数和 HOMO-LUMO 能隙,表明结构类型与那些计算性质特别相关,这些结果与各自的验证参数一致。

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