Protein biomarkers for Lung Cancer: a bioinformatic approach
This Thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2016.
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| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
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BRAC University
2017
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| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/7792 |
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10361-77922019-09-30T02:56:27Z Protein biomarkers for Lung Cancer: a bioinformatic approach Jeba, Joynob Sayed, Sadia Department of Mathematics and Natural Sciences, BRAC University Lung cancer This Thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 77-81). Lung cancer is one of the most occurring cancers around the world with increasing mortality rate and Bangladesh has a very high rate of lung cancer patient. Detection of lung cancer is not very easy process and quite undetectable until it reaches to the metastatic stage. Protein biomarkers are already being studied to diagnose disease type and stage along with the proper treatment planning for several types of cancer including breast, pancreatic and colon cancer. In this study, 14 proteins (MDK, MMP2, TFPI, TIMP-1, OPN, BIRC6, CEA, CDK4, HSPA5, HSP90α, EFGR, and ACTN4) were chosen that are expressed in lung cancer patient and analyzed using different bioinformatics tools (MEME, SWISS MODEL WORKPLACE). Since sequence motif can be used as a tool for predicting protein function for each of the protein, after assessing the homology modeling and sequence motifs of the 14 proteins, 3(OPN, EGFR, TIMP1) of them were identified for further analysis. The expression level of these lung cancer proteins were checked for better understanding. Additional wet-lab based study of such protein biomarkers maybe used as a panel for further researches that are designed to find out the regulatory properties, rationality and therapeutic agents, for diagnosis of the disease and the best suited treatment system for a lung cancer patient in future. Joynob Jeba B. Biotechnology 2017-02-27T09:46:27Z 2017-02-27T09:46:27Z 2016 2016-08 Thesis ID 12136010 http://hdl.handle.net/10361/7792 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 81 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Lung cancer |
| spellingShingle |
Lung cancer Jeba, Joynob Protein biomarkers for Lung Cancer: a bioinformatic approach |
| description |
This Thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2016. |
| author2 |
Sayed, Sadia |
| author_facet |
Sayed, Sadia Jeba, Joynob |
| format |
Thesis |
| author |
Jeba, Joynob |
| author_sort |
Jeba, Joynob |
| title |
Protein biomarkers for Lung Cancer: a bioinformatic approach |
| title_short |
Protein biomarkers for Lung Cancer: a bioinformatic approach |
| title_full |
Protein biomarkers for Lung Cancer: a bioinformatic approach |
| title_fullStr |
Protein biomarkers for Lung Cancer: a bioinformatic approach |
| title_full_unstemmed |
Protein biomarkers for Lung Cancer: a bioinformatic approach |
| title_sort |
protein biomarkers for lung cancer: a bioinformatic approach |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/7792 |
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AT jebajoynob proteinbiomarkersforlungcancerabioinformaticapproach |
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