Sundar Shobana, Piramanayagam Shanmughavel, Natarajan Jeyakumar
Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, India.
Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu, India.
Virus Genes. 2022 Jun;58(3):151-171. doi: 10.1007/s11262-022-01898-5. Epub 2022 Apr 8.
Structural genomics involves the advent of three-dimensional structures of the genome encoded proteins through various techniques available. Numerous structural genomics research groups have been developed across the globe and they contribute enormously to the identification of three-dimensional structures of various proteins. In this review, we have discussed the applications of the structural genomics approach towards the discovery of potential lead-like molecules against the genomic drug targets of three vector-borne diseases, namely, Dengue, Chikungunya and Zika. Currently, all these three diseases are associated with the most important global public health problems and significant economic burden in tropical countries. Structural genomics has accelerated the identification of novel drug targets and inhibitors for the treatment of these diseases. We start with the current development status of the drug targets and antiviral drugs against these three diseases and conclude by describing challenges that need to be addressed to overcome the shortcomings in the process of drug discovery.
结构基因组学涉及通过各种现有技术获得基因组编码蛋白质的三维结构。全球已成立了许多结构基因组学研究小组,它们在鉴定各种蛋白质的三维结构方面做出了巨大贡献。在本综述中,我们讨论了结构基因组学方法在发现针对三种媒介传播疾病(即登革热、基孔肯雅热和寨卡病毒病)的基因组药物靶点的潜在类先导分子方面的应用。目前,这三种疾病都是热带国家最重要的全球公共卫生问题,并带来了巨大的经济负担。结构基因组学加快了针对这些疾病的新型药物靶点和抑制剂的鉴定。我们首先介绍针对这三种疾病的药物靶点和抗病毒药物的当前发展状况,最后描述在药物发现过程中为克服缺点而需要应对的挑战。