DNA replication is a major target for cancer therapies, while efficient DNA repair antagonizes those same therapies. Both replication and repair are critically dependent on the dynamics, coordinated access, and conformational switching of key proteins in the replication machinery. Research in our group is centered on the development and application of integrative or hybrid approaches for computational modeling of biological assemblies involved in these processes. We model and structurally characterize these dynamic assemblies to elucidate their roles in maintaining genome stability. Success of this research could have impact on cancer etiology and interventions. Our computational work feeds back directly to collaborative experimental work, forming strong contextual underpinnings for the multidisciplinary experiments designed to tackle the complex biology of DNA replication and DNA repair.
Computational biology and biophysics, Molecular modeling and simulations, Drug design, Computational chemistry, Biological assemblies and mechanisms of genome duplication and maintenance.
Opportunities for Graduate Students
Our group has openings for prospective Ph.D. students in computational biology and biophysics. We are looking for highly motivated candidates to conduct research in molecular modeling that addresses critical problems in the biomedical arena, unified by the common theme of how cells accomplish faithful duplication of their genetic material. Research in our group has direct bearing on understanding the molecular basis of genetic integrity and the loss of this integrity in cancer and in degenerative diseases. Support for graduate studies includes an annual stipend and a tuition waiver and generally comes from NSF/NIH grants awarded to the group. Interested candidates are welcome to contact Prof. Ivanov directly by email: email@example.com and should also apply to the GSU chemistry graduate program (http://chemistry.gsu.edu/graduate).
Undergraduate Research Opportunities
At the intersection of biochemistry, physics, mathematics, and computing, the field of computational biology uses theoretical and computational models to show how cellular activity emerges from molecular behavior. Research in this field deepens our understanding of biology and is poised to yield dramatic advances in medicine and technology. Opportunities may become available in the group for bright, dedicated undergraduates interested in this new field. A background that includes multivariate calculus, physical chemistry, and some familiarity with computing is ideal.