Computational Biology Research Lab, Department of Computer Science, National University of Computing and Emerging Sciences (NUCES-FAST), Islamabad, Pakistan.
Department of Biology, College of Science, University of Jeddah, Saudi Arabia.
Comput Math Methods Med. 2020 Oct 6;2020:7419512. doi: 10.1155/2020/7419512. eCollection 2020.
Calmodulin-dependent protein kinase kinase 2 (CAMKK2) is a protein kinase that belongs to the serine/threonine kinase family. It phosphorylates kinases like CAMK1, CAMK2, and AMP, and this signaling cascade is involved in various biological processes including cell proliferation, apoptosis, and proliferation. Also, the CAMKK2 signaling activity is required for the healthy activity of the brain which otherwise can cause diseases like bipolar disorders and anxiety. The current study is based on bioinformatics analysis that combines sequence- and structure-based predictions to mark a SNP as damaging or neutral. The combined results from sequence-based, evolutionary conservation-based, and consensus-based tools have predicted a total of 18 nsSNPs as deleterious, and these nsSNPs were further subjected to structure-based analysis. The six mutant models of V195A, V249M, R311C, F366Y, P389T, and W445C showed a higher deviation from the wildtype protein model and hence were further taken for docking studies. The molecular docking analysis has predicted that these mutations will also be disruptive to the protein-protein interactions between CAMKK2 and PRKAG1 which will create an evident reduction in the kinase activity. The current study has enlightened us that a few of the significant mutations are prime candidates in CAMKK2 which could be the fundamental cause of various bipolar and psychiatric disorders. This is the first detailed study that predicts the deleterious nsSNPs in CAMKK2 and contributes positively in providing a better understanding of disease mechanisms.
钙调蛋白依赖性蛋白激酶激酶 2(CAMKK2)是一种蛋白激酶,属于丝氨酸/苏氨酸激酶家族。它磷酸化激酶如 CAMK1、CAMK2 和 AMP,这个信号级联反应参与了各种生物过程,包括细胞增殖、凋亡和增殖。此外,CAMKK2 的信号活性对于大脑的健康活动是必需的,否则可能导致双相情感障碍和焦虑等疾病。本研究基于生物信息学分析,结合序列和结构预测,将 SNP 标记为有害或中性。基于序列、进化保守性和共识的工具的综合结果总共预测了 18 个 nsSNP 为有害,这些 nsSNP 进一步进行了结构分析。V195A、V249M、R311C、F366Y、P389T 和 W445C 的六个突变模型显示出与野生型蛋白模型更高的偏差,因此进一步进行了对接研究。分子对接分析预测这些突变也将破坏 CAMKK2 和 PRKAG1 之间的蛋白质-蛋白质相互作用,从而显著降低激酶活性。本研究表明,CAMKK2 中的一些重要突变是候选基因,可能是各种双相情感障碍和精神疾病的根本原因。这是第一个详细预测 CAMKK2 中有害 nsSNP 的研究,为更好地理解疾病机制做出了积极贡献。