Research in the Ivanov group is focused on the molecular machines and intricate mechanisms responsible for genome replication, genome maintenance and gene expression. Computational biology has emerged as a powerful tool for understanding these complex systems, significant for human health. We develop and apply hybrid computational methods to integrate data from biophysical techniques that can probe flexible macromolecular assemblies – cryo-electron microscopy, single-molecule spectroscopy and small angle X-ray scattering. The group also has extensive expertise in methods for free energy computation, enhanced sampling and path optimization. Success of this research could impact our knowledge of the causes of cancer, degenerative neurological and inherited genetic disorders.
Computational biology and biophysics, Molecular modeling and simulations, Drug design, Computational chemistry, Biological assemblies and mechanisms of genome duplication, genome maintenance, gene expression and gene regulation.
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. This research addresses critical problems in the biomedical arena, unified by the common theme of how cells accomplish faithful duplication and expression 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 physical chemistry, biochemistry and some familiarity with computing is ideal.