Schneidman Dina

Dr. Dina Schneidman
Structural Bioinformatics
Biological Chemistry

Research Interests

Structural models aid in understanding the function of macromolecules, explaining the phenotype of mutations, studying the evolution of protein machineries, designing new proteins and drug molecules that can control or modify function.

We develop and apply computational methods for structural modeling of multi-protein complexes and flexible (multi-state) proteins integrating information from experimental methods (X-ray crystallography, NMR spectroscopy, 2D and 3D Electron Microscopy (EM), Small Angle X-ray Scattering (SAXS), Mass Spectrometry (MS), Hydrogen–deuterium exchange (HDX), mutations), bioinformatics (sequence conservation and covariation), physics (force fields), and statistics.

We develop methods for B-cell and T-cell epitope prediction based on modeling of the immune response structures, such as antibody-antigen interactions, antigen processing, MHC presentation and T-cell recognition.

Dissertation Topics

Dr. Dina Schneidman


Mobile Phone
Silberman 1-513