Insilico study of Human lung cancer oncogenes and their proteins using different software tools
Main Article Content
Abstract
- Early stage lung cancer detection is the first step toward successful clinical therapy, the methods outlined and studied in the present research gives a solution to find the basic reasons for causing lung cancer. Clinicians analyze cancer progression by extracting tumor cell proteins in the blood plasma of the patients. Lung cancer is the leading cause of cancer death in the world. The patient survival rates for 5 years and 10 years remain very low at 14% and 8%, respectively. Though we have many advanced methods like diagnostic imaging and therapy, improvements over the past decade have shown a considerable good results. We report here an approach to study human genome lung cancer oncogenic proteins by Insilco methods.
The present work aims to study the proteins of oncogenes of lung cancer patients of the human genome. This is the first attempt made to analyze the genes of lung cancer. The NCBI oncogenic protein transcripts were obtained. They were analyzed by BLASTP method , the dendograms are compared and interpreted. There are 7 oncogenic proteins of Human genome identified and analyzed by us using BLASTP. The interpreted results show that they have maximum similarity with other oncogenic proteins of human cancers and other organisms.
The present work aims to study the proteins of oncogenes of lung cancer patients of the human genome. This is the first attempt made to analyze the genes of lung cancer. The NCBI oncogenic protein transcripts were obtained. They were analyzed by BLASTP method , the dendograms are compared and interpreted. There are 7 oncogenic proteins of Human genome identified and analyzed by us using BLASTP. The interpreted results show that they have maximum similarity with other oncogenic proteins of human cancers and other organisms.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.