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关于生物活性配体与ALK5(一种与癌症治疗相关的生物靶点)之间相互作用的计算机模拟研究。

In silico studies on the interaction between bioactive ligands and ALK5, a biological target related to the cancer treatment.

作者信息

Almeida Michell O, Trossini Gustavo H G, Maltarollo Vinícius G, Silva Danielle da C, Honorio Kathia M

机构信息

a Centro de Ciências Naturais e Humanas , Universidade Federal do ABC (UFABC) , Santo André , SP , Brazil.

b Departamento de Farmácia, Faculdade de Ciências Farmacêuticas , Universidade de São Paulo (USP) , São Paulo , SP , Brazil.

出版信息

J Biomol Struct Dyn. 2016 Sep;34(9):2045-53. doi: 10.1080/07391102.2015.1106340. Epub 2016 Mar 8.

Abstract

Studies have showed that there are many biological targets related to the cancer treatment, for example, TGF type I receptor (TGF-βRI or ALK5). The ALK5 inhibition is a strategy to treat some types of cancer, such as breast, lung, and pancreas. Here, we performed CoMFA and CoMSIA studies for 70 ligands with ALK5 inhibition. The internal validation for both models (q(2)LOO = 0.887 and 0.822, respectively) showed their robustness, while the external validations showed their predictive power (CoMFA: r(2)test = 0.998; CoMSIA: r(2)test = 0.975). After all validations, CoMFA and CoMSIA maps indicated physicochemical evidences on the main factors involved in the interaction between bioactive ligands and ALK5. Therefore, these results suggest molecular modifications to design new ALK5 inhibitors.

摘要

研究表明,有许多与癌症治疗相关的生物学靶点,例如,转化生长因子I型受体(TGF-βRI或ALK5)。抑制ALK5是治疗某些类型癌症的一种策略,如乳腺癌、肺癌和胰腺癌。在此,我们对70种具有ALK5抑制作用的配体进行了比较分子场分析(CoMFA)和比较分子相似性指数分析(CoMSIA)研究。两个模型的内部验证(交叉验证系数q(2)LOO分别为0.887和0.822)显示了它们的稳健性,而外部验证则显示了它们的预测能力(CoMFA:外部验证系数r(2)test = 0.998;CoMSIA:外部验证系数r(2)test = 0.975)。经过所有验证后,CoMFA和CoMSIA图谱表明了生物活性配体与ALK5相互作用中主要因素的物理化学证据。因此,这些结果为设计新的ALK5抑制剂提供了分子修饰建议。

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