Departamento de Biofísica e Farmacologia, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN, Brazil.
Sci Rep. 2018 Jan 30;8(1):1840. doi: 10.1038/s41598-018-20325-0.
Much of the recent excitement in the cancer immunotherapy approach has been generated by the recognition that immune checkpoint proteins, like the receptor PD-1, can be blocked by antibody-based drugs with profound effects. Promising clinical data have already been released pointing to the efficiency of the drug pembrolizumab to block the PD-1 pathway, triggering the T-lymphocytes to destroy the cancer cells. Thus, a deep understanding of this drug/receptor complex is essential for the improvement of new drugs targeting the protein PD-1. In this context, by employing quantum chemistry methods based on the Density Functional Theory (DFT), we investigate in silico the binding energy features of the receptor PD-1 in complex with its drug inhibitor. Our computational results give a better understanding of the binding mechanisms, being also an efficient alternative towards the development of antibody-based drugs, pointing to new treatments for cancer therapy.
近年来,癌症免疫疗法的研究取得了很大进展,人们认识到免疫检查点蛋白(如受体 PD-1)可以被抗体药物阻断,从而产生深远的影响。已经有令人鼓舞的临床数据表明,药物 pembrolizumab 能够阻断 PD-1 通路,激活 T 淋巴细胞杀伤癌细胞。因此,深入了解药物/受体复合物对于开发针对 PD-1 蛋白的新药至关重要。在这种情况下,我们采用基于密度泛函理论(DFT)的量子化学方法,对 PD-1 受体与其药物抑制剂复合物的结合能特征进行了计算研究。我们的计算结果更好地理解了结合机制,也为抗体药物的开发提供了有效的替代方法,为癌症治疗开辟了新的治疗途径。