Jain Ruchi, Piramanayagam Shanmughavel
DBT-Bioinformatics Centre, Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu 641 046, India.
ScientificWorldJournal. 2014;2014:613293. doi: 10.1155/2014/613293. Epub 2014 Nov 27.
HRSV (human respiratory syncytial virus) is a serious cause of lower respiratory tract illness in infants and young children. Designing inhibitors from the proteins involved in virus replication and infection process provides target for new therapeutic treatments. In the present study, in silico docking was performed using motavizumab as a template to design motavizumab derived oligopeptides for developing novel anti-HRSV agents. Additional simulations were conducted to study the conformational propensities of the oligopeptides and confirmed the hypothesis that the designed oligopeptide is highly flexible and capable of assuming stable confirmation. Our study demonstrated the best specific interaction of GEKKLVEAPKS oligopeptide for glycoprotein strain A among various screened oligopeptides. Encouraged by the results, we expect that the proposed scheme will provide rational choices for antibody reengineering which is useful for systematically identifying the possible ways to improve efficacy of existing antibody drugs.
人呼吸道合胞病毒(HRSV)是引起婴幼儿下呼吸道疾病的一个重要原因。从参与病毒复制和感染过程的蛋白质中设计抑制剂可为新的治疗方法提供靶点。在本研究中,以莫他维珠单抗为模板进行了计算机对接,以设计出莫他维珠单抗衍生的寡肽,用于开发新型抗HRSV药物。还进行了额外的模拟,以研究这些寡肽的构象倾向,并证实了所设计的寡肽具有高度灵活性且能够形成稳定构象这一假设。我们的研究表明,在各种筛选出的寡肽中,GEKKLVEAPKS寡肽与A株糖蛋白具有最佳的特异性相互作用。受这些结果鼓舞,我们期望所提出的方案将为抗体改造提供合理选择,这有助于系统地确定提高现有抗体药物疗效的可能方法。