Thursday, January 12, 2017
1:00 p.m. Room 202 MRB
Professor Dukka KC
Assistant Professor, Computational Science & Engineering, North Carolina A&T State University, Greensboro, North Carolina
Prediction of protein post-translational modification sites and multi-domain protein structure prediction
Proteins are important macromolecules that are involved in nearly all cellular processes. Elucidation of the structure and function of proteins is important to understand much of the underpinnings of biology. In this talk, I would describe our recently developed approaches for prediction of Phosphorylation sites, one of the most important post-translational modification site and Hydroxylation Sites.
Furthermore, majority of the protein repertoire is composed of multi-domain proteins. In this regard, we are also working on development of computational tool for multi-domain protein structure prediction. I will describe our ongoing work on prediction of multi-domain protein structure prediction that takes its idea from Dr. Vakser’s PNAS paper that states that templates are available to model nearly all complexes of structurally characterized proteins. Following the similar notion, we hypothesize that a lot of multidomain protein structures can be solved using the available structures in PDB. Finally, I will also describe briefly our approach to detect symmetry in protein domains.