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Computational Modeling of DNA Binding Molecules Charles Brian Kelly Department of Chemistry and Biochemistry University of North Carolina Wilmington Wilmington,

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Presentation on theme: "Computational Modeling of DNA Binding Molecules Charles Brian Kelly Department of Chemistry and Biochemistry University of North Carolina Wilmington Wilmington,"— Presentation transcript:

1 Computational Modeling of DNA Binding Molecules Charles Brian Kelly Department of Chemistry and Biochemistry University of North Carolina Wilmington Wilmington, NC 28403

2  Me-Lex binds in the minor groove of DNA  Me-Lex causes specific DNA damage resulting in the death of the cell without any mutations  Me-Lex has potential application in cancer chemotherapy Me-Lex: A DNA damaging agent

3 Molecules being prepared in our laboratory

4 Objectives  Develop Computational Method of Analysis  Identify Linkers which are favorable for DNA Binding  Identify Linkers which do not favor DNA Binding  Identify what compounds are good candidates for synthesis in the laboratory

5 Methods  Import structure from protein data bank into computational program (Insight II)  Modify structure to represent compounds for project Crystal structure imported from Brookhaven protein data bank

6 Methods (cont.) Me-Lex with attached linker and glucose ring (modified in INSIGHT II)  Subject modified structure to molecular dynamics calculations (AMBER)  Calculations indicate whether new structure energetically favorable or not  Calculations are being conducted in collaboration with Dr. Lee Bartolotti (ECU) using SGI Origin 350 High Performance Computer

7 Preliminary Work  14 different modified structures have been created using INSIGHTII  Parameters have been defined for Me-Lex  Molecular dynamics calculations have been initiated on one compound

8 ACKNOWLEDGEMENTS:  Dr. Sridhar Varadarajan  Dr. Libero Bartolotti ( East Carolina University)  Dr. Ned Martin  Heather Hill

9 REFERENCES  Zhang, Y., Chen, F.-X., Mehta, P., and Gold, B., Biochemistry 32, 7954-7965. 1993.  Varadarajan, S., Dharini, S., Dande, P., Settles, S., Chen, F.-X., Gilberto, F., and Gold, B., Biochemistry 42, 14318-14327, 2003.  Henry-Amar, M., and Dietrich, P. Y., Eds., W. B. Saunders Hematology/Oncology Clinics of North America, Therapy-Related Second Malignancies, 7, Philadelphia, 1993.  Ferguson, A. T., Lapidus, R. G., Davidson, N. E., The regulation of estrogen receptor expression and function in human breast cancer, Cancer treatment and research, 94 255- 278, 1998.  Pearlman, D.A., Case, D.A., Caldwell, J.W., Ross, W.R., Cheatham III,, T.E., DeBolt, S.Ferguson, D., Seibel, G., and Kollman, P., AMBER, a computer program for applying molecular mechanics, normal mode analysis, molecular dynamics and free energy calculations to elucidate the structures and energies of molecules. Comp. Phys. Commun. 91, 1-41, 1995.  Tsui, V., and Case, D.A., Theory and applications of the generalized Born solvation model in macromolecular simulations. Biopolymers (Nucl. Acid. Sci.) 56, 275-291, 2001.  Onufriev, Alexey, Bashford, D., and Case, D.A., “Exploring native states and large- scale conformational changes with a modified Generalized Born model.”, Proteins, 55, 383-394, 2004.


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