Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/223075
Title: | A study on structural perturbations in MTHFR Ala222 Val mutant by bioinformatics and systems biology approach |
Researcher: | Abhinand P.A. |
Guide(s): | Ragunath P.K. |
University: | Sri Ramachandra University |
Completed Date: | 03/12/2018 |
Abstract: | Methylenetetrahydrofolatereductase MTHFR protein catalyzes the only biochemical reaction which produces methyltetrahydrofolate the active form of folic acid essential for several molecular functions Experimental studies have shown that the C677T mutation does not affect the kinetic properties of MTHFR but inactivates the protein by increasing Flavin Adenine Dinucleotide FAD loss A systematic Meta analysis to explore the association of MTHFR C677T mutation with Ischemic stroke Down syndrome Neural tube defects Meta-analysis results revealed that subjects with C677T mutation of MTHFR have 30 per cent higher risk developing Ischemic stroke when compared to controls there was a 17 per cent higher risk of giving birth to off springs with Down Syndrome and 41 per cent higher risk of giving birth to off springs with NTD compared to controls The lack of crystal structure of MTHFR is an impediment in understanding the structural perturbations caused by the Ala222Val mutation computational modeling provides a suitable alternative The 3D structure of human MTHFR protein was obtained through homology modeling Subsequently the modeled structure was docked with FAD using Glide which revealed a very good binding affinity authenticated by a Glide XP score of 10 point 3983 kcal mol 1 The MTHFR was mutated by changing Alanine 222 to Valine The wild type MTHFR FAD complex and the Ala222Val mutant MTHFR FAD complex were subjected to molecular dynamics simulation over 50 ns period The average difference in backbone root mean square deviation RMSD between wild and mutant variant was found to be 11 Å The FAD binding ability of the mutant MTHFR was also found to be significantly lowered as a result of decreased protein grip caused by increased conformational flexibility Multilayer Perceptron to Classify Wild-Type and Mutant MTHFR by taking RMSDs of C Backbone Side Chain and Ligand RMSDs through 50 ns MD Simulation was found to show overall accuracy of 96point 4 per cent newline |
Pagination: | 1-152 |
URI: | http://hdl.handle.net/10603/223075 |
Appears in Departments: | College of Biomedical Sciences |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
file 10_chapter 7_summary_conclusion.pdf | Attached File | 552.84 kB | Adobe PDF | View/Open |
file 1_title.pdf | 31.21 kB | Adobe PDF | View/Open | |
file 2_certificate.pdf | 604.76 kB | Adobe PDF | View/Open | |
file 3_prelimnary pages.pdf | 58.71 kB | Adobe PDF | View/Open | |
file 4_chapter 1_introduction.pdf | 1.2 MB | Adobe PDF | View/Open | |
file 5_chapter 2_materials and methods.pdf | 1.19 MB | Adobe PDF | View/Open | |
file 6_chapter 3_meta analysis.pdf | 1.06 MB | Adobe PDF | View/Open | |
file 7_chapter 4_homology model.pdf | 1.15 MB | Adobe PDF | View/Open | |
file 8_chapter 5__md simulation.pdf | 1.27 MB | Adobe PDF | View/Open | |
file 9_chapter 6_neural network model.pdf | 1.36 MB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: