Fiser Lab

Structural and Computational Biology at the Einstein College of Medicine

Fiser Lab

Focused on Protein Stucture / Genomics / Receptor-Ligand Interaction

Molecular basis of receptor-ligand recognition in the Immunological Synapse

Our long-term goal is to understand the principles underlying molecular recognition and selectivity at the immunological synapse. This includes both the identification of novel cognate receptor ligand intercations and to use the gained knowledge to realize surgically defined mutants with altered affinities and selectivities, which can act as biologic drugs

Modeling protein structures, designing novel folds

We are developing a computational approach to model proteins for which a limited number of experimental restraints are available. We utilize our recently developed fragment library of supersecondary structure elements (Smotifs) that was shown to have saturated almost 20 years ago. We hypothesize that all protein folds should be possible to build from this library. We are developing algorithms that take advantage of NMR chemical shift information to identify a subset of Smotifs that form a protein and setting up optimization approaches that will rapidly assemble overlapping Smotifs into compact folds.

Evolution of robustness in gene networks (Protein-DNA interactions, structure based prediction of DNA binding motifs.)

Previous research has shown gene regulatory networks are robust to perturbations at the level of the connections between transcription factors. We investigate the mechanisms underlying the evolution of robustness in gene networks using a modeling approach, which considers three levels: binding of individual transcription factors to DNA, dynamics of gene expression levels, and fitness effects at the population level.