Nitin Kumar Verma1, 2*, Balwinder Singh3, Vibha4
1 Department of Biotechnology and Bioinformatics, Uttaranchal College of Science and Technology, Dehardun, Uttarakhand, INDIA
2 Faculty of Life Science, Uttarakhand Technical University, Dehradun, Uttarakhand, INDIA
3 Department of Science, Ek Onkar Scholar Degree College, Shahbjnagar, Shahjahanpur, Uttar Pardesh, INDIA
4 Genetics and Tree Propagation Division, Forest Research Institute, Dehradun, Uttarkhand, INDIA
Email: nittinkumarverma@gmail.com
Received-01.08.2016, Revised-17.08.2016
Abstract: Computational analysis has been established for hypothetical study of amino acid sequences of the enzyme cytidylate kinase that derived from various programs and databases. Cytidylate kinase enzyme is widely distributed enzyme among bacteria and fungi. In the present study, thirteen full length amino acid sequences cytidylate kinase were retrieved, collected and subject to multiple sequence alignment (MSA), regular expression identification, domain identification, discovering individual amino acid composition, and construction of phylogenetic trees. Multiple sequence alignment revealed that three glycine, one lycine, one arginine and one valine were identically found in all the bacterial and fungal sources of cytidylate kinase. The two major sequence clusters were constructed by phylogenetic analysis. One cluster contains two species of fungi and six species of bacteria, where as other contain five species of only fungi. The amino acid composition results revealed that the average frequency of amino acid leucine is 9.29 % in fungi, where as alanine 13.61 % in bacteria. In addition, six unique motifs were also identifiedin the group analysis.
Keywords: Motif, Phylogentic analysis, Multiple sequence alignment, Cytidylate Kinase, Domain
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