Author/Authors :
Khalid, Zoya Department of Computer Science - National University of Computing and Emerging Sciences (NUCES-FAST) - Islamabad, Pakistan , Almaghrabi, Omar Department of Biology - College of Science - University of Jeddah, Saudi Arabia
Abstract :
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 in silico
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.
Keywords :
Single-Nucleotide , Polymorphisms , CAMKK2 , Comprehensive