Analysis of Protein Kinase Domain and Tyrosine Kinase or Serine/Threonine Kinase signatures Involved In Lung Cancer

Center for Bioformatics, Pondicherry University, Puducherry, Puducherry, India
Department Of Biotechnology, Amity University, Lucknow, India
Bioinformatics, Jaivik Data Consulting, New Delhi, Delhi, India
DOI
10.7287/peerj.preprints.414v1
Subject Areas
Bioinformatics
Keywords
Lung Cancer, Protein Kinase Domain, Tyrosine Kinase, Phylogenetic Tree, Motif
Copyright
© 2014 Barik et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Barik MR, Bagga TK, Bhattacharya A, Palaka BK, Kotapati KV, Ampasala DR. 2014. Analysis of Protein Kinase Domain and Tyrosine Kinase or Serine/Threonine Kinase signatures Involved In Lung Cancer. PeerJ PrePrints 2:e414v1

Abstract

Lung cancer results when normal check and balance system of cell division is disrupted and ultimately the cells divide and proliferate in an uncontrollable manner forming a mass of cells in our body, known as tumor. Frequent mutations in Protein Kinase Domain alter the process of phosphorylation which results in abnormality in regulations of cell apoptosis and differentiation. Tyrosine Protein kinases and Serine/Threonine Protein Kinases are the two broad classes of protein kinases in accordance to their substrate specificity. The study of Tyrosine protein kinase and serine Kinase coding regions have the importance of sequence and structure determinants of cancer-causing mutations from mutation-dependent activation process. In the present study, we analyzed huge amounts of data extracted from various biological databases and NCBI. Out of the 534 proteins that may play a role in lung cancer, 71 proteins were selected that are likely to be actively involved in lung cancer. These proteins were evaluated by employing Multiple Sequence Alignment and a Phylogenetic tree was constructed using Neighbor-Joining Algorithm. From the constructed phylogenetic tree, protein kinase domain and motif study was performed. The results of this study revealed that the presence of Protein Kinase Domain and Tyrosine or Serine/Threonine Kinase signatures in some of the proteins are mutated, which play a dominant role in the pathogenesis of Lung Cancer and these may be addressed with the help of inhibitors to develop an efficient anticancer drugs. Furthermore, the present study contributes to the possibility that genetic components are more important in Lung Cancer as compared to environmental and smoking(carcinogens) factors.