Arumugasamy Karthiga, Tripathi Sunil Kumar, Singh Poonam, Singh Sanjeev Kumar
Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Science Block, 4th Floor, Karaikudi, 630003, Tamil Nadu, India.
Methods Mol Biol. 2016;1336:59-66. doi: 10.1007/978-1-4939-2926-9_6.
The homology of the inhibitor binding site regions on the surface of cyclin-dependent kinases (CDKs) makes actual CDK inhibitors unable to bind specifically to their molecular targets. Most of them are ATP competitive inhibitors with low specificity that also affect the phosphorylation mechanisms of other nontarget kinases giving rise to harmful side effects. So, the search of specific and potent inhibitors able to bind to the desired CDK target is still a pending issue. Structure based drug design minimized the erroneous binding and increased the affinity of the inhibitor interaction. In the case of CDKs their activation and regulation mechanisms mainly depend on protein-protein interactions (PPIs). The design of drugs targeting these PPIs makes feasible and promising towards the discovery of new and specific CDK inhibitors. Development of peptide inhibitors for a target protein is an emerging approach in computer aided drug designing. This chapter describes in detail methodology for use of the VitAL-Viterbi algorithm for de novo peptide design of CDK2 inhibitors.
细胞周期蛋白依赖性激酶(CDK)表面抑制剂结合位点区域的同源性使得实际的CDK抑制剂无法特异性结合其分子靶点。它们中的大多数是ATP竞争性抑制剂,特异性低,还会影响其他非靶点激酶的磷酸化机制,从而产生有害的副作用。因此,寻找能够结合所需CDK靶点的特异性强效抑制剂仍然是一个悬而未决的问题。基于结构的药物设计减少了错误结合,提高了抑制剂相互作用的亲和力。就CDK而言,它们的激活和调节机制主要依赖于蛋白质-蛋白质相互作用(PPI)。针对这些PPI设计药物对于发现新的特异性CDK抑制剂是可行且有前景的。针对靶蛋白开发肽抑制剂是计算机辅助药物设计中一种新兴的方法。本章详细描述了使用VitAL-Viterbi算法从头设计CDK2抑制剂肽的方法。