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smbargeen_Thesis_Final.pdf (3.73 MB)
ETD Abstract Container
Abstract Header
Computational Investigation of Protein Assemblies
Author Info
Turzo, SM Bargeen Alam
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=csu1532714714406789
Abstract Details
Year and Degree
2018, Master of Science in Chemistry, Cleveland State University, College of Sciences and Health Professions.
Abstract
Selective nitrosylation of glyceraldehyde 3-phosphate dehydrogenase (GAPDH) at Cys-247 affects gene regulation through the interferon-gamma (IFN- γ) activated inhibitor of translation (GAIT) complex. Oxidized low-density lipoprotein (LDL
ox
) and INF-γ induce assembly of the nitrosylase complex composed of inducible nitric oxide synthase (iNOS), S100A8, and S100A9 proteins. Crystal structure of the complex of GAPDH and S100A8A9 is not known, structural prediction method were employed by protein-protein docking and binding energy calculation with PatchDock and FIREDock respectively. Candidate models were selected, based on a weight factor calculated, from the computational method developed from the "artificial protease" cleavage mapping Fe(III) (s)-1-(p- bromoacetamidobenzyl) EDTA to identify helical domains of GAPDH that may interact with S100A8. Models were also selected based on the Boltzmann distribution according to their binding energy. Interface residue analysis suggest that from the models that matched with experimental data, DCE-9 has highest weight factor of 1.68. Docking complexes without experimental bias has the highest binding energy of -76.04 kcal/mol when compared to other candidate models. Our analysis also suggests that complex that matched with experimental data are less likely to form as their binding energies were much lower when compared to the models that were not selected based on experimental data. It can be inferred from our analysis that artificial cleavage mapping may lead to artefacts and the CHARMM19 force field used in FIREDock may not accurately represent the true binding energy of these complexes.
Committee
Valentin Gogonea (Committee Chair)
Warren Boyd (Committee Member)
Mekki Bayachou (Committee Member)
Subject Headings
Biochemistry
;
Chemistry
Keywords
Docking
;
GAPDH
;
S100A8A9
;
GAIT
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Citations
Turzo, S. B. A. (2018).
Computational Investigation of Protein Assemblies
[Master's thesis, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1532714714406789
APA Style (7th edition)
Turzo, SM Bargeen.
Computational Investigation of Protein Assemblies.
2018. Cleveland State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=csu1532714714406789.
MLA Style (8th edition)
Turzo, SM Bargeen. "Computational Investigation of Protein Assemblies." Master's thesis, Cleveland State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=csu1532714714406789
Chicago Manual of Style (17th edition)
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Document number:
csu1532714714406789
Download Count:
255
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.