Pisani Leonardo, Farina Roberta, Nicolotti Orazio, Gadaleta Domenico, Soto-Otero Ramon, Catto Marco, Di Braccio Mario, Mendez-Alvarez Estefania, Carotti Angelo
Dipartimento di Farmacia - Scienze del Farmaco, Università degli Studi di Bari "Aldo Moro", Via E. Orabona, 4, I-70125 Bari, Italy.
Grupo de Neuroquimica, Departamento de Bioquimica y Biologia Molecular, Facultad de Medicina, Universidad de Santiago de Compostela, San Francisco I, E-15782 Santiago de Compostela, Spain.
Eur J Med Chem. 2015 Jan 7;89:98-105. doi: 10.1016/j.ejmech.2014.10.029. Epub 2014 Oct 13.
Inhibition data on rat monoamine oxidase B isoform of a large number of 7-metahalobenzyloxy-2H-chromen-2-one derivatives (67 compounds) carrying at position 4 a variety of substituents differing in steric, electrostatic, lipophilic and H-bonding properties, were modeled by Gaussian field-based 3D-QSAR and docking simulations carried out on rat MAO-B homology model. The computational study combining two different approaches provided easily interpretable binding modes, highlighting the dominant role of the steric effects at position 4, and guided the design of new, potent and selective MAO-B inhibitors. The 4-hydroxyethyl-, 4-chloroethyl-, 4-carboxamidoethyl-coumarin derivatives 70, 71, and 76, respectively, were endowed with high MAO-B inhibitory potency (pIC50 = 8.13, 7.89 and 7.82, respectively) and good selectivity over MAO-A (pIC50 = 5.33, 3% inhibition at 10 μM, and pIC50 = 5.37, respectively). New compounds with moderate to low MAO-B inhibitory activity were also designed and prepared to challenge the predictive power of our docking-based 3D-QSAR model. The good match between predicted and experimental pIC50 values for all the newly designed compounds confirmed the robustness of our model (r(2) = 0.856, RMSE = 0.421) and its transparent rationale in unveiling the main molecular determinants for high potency towards MAO-B.
大量在4位带有各种空间、静电、亲脂性和氢键性质不同取代基的7-卤代苄氧基-2H-色烯-2-酮衍生物(67种化合物)对大鼠单胺氧化酶B亚型的抑制数据,通过基于高斯场的3D-QSAR以及在大鼠MAO-B同源模型上进行的对接模拟进行建模。结合两种不同方法的计算研究提供了易于解释的结合模式,突出了4位空间效应的主导作用,并指导了新型、高效和选择性MAO-B抑制剂的设计。4-羟乙基-、4-氯乙基-、4-羧酰胺乙基-香豆素衍生物70、71和76分别具有高MAO-B抑制活性(pIC50分别为8.13、7.89和7.82)以及对MAO-A的良好选择性(pIC50分别为5.33、在10μM时抑制率为3%以及pIC50为5.37)。还设计并制备了具有中度至低度MAO-B抑制活性的新化合物,以检验我们基于对接的3D-QSAR模型的预测能力。所有新设计化合物的预测pIC50值与实验值之间的良好匹配证实了我们模型的稳健性(r(2)=0.856,RMSE=0.421)及其在揭示对MAO-B高效力的主要分子决定因素方面的清晰原理。