Cheng and Bahar Provide Novel Information About EAATs in eLife Publication

Identifying chloride channeling path in excitatory amino acid transporters

The paper provides novel evidence on the molecular determinants of the dual function, substrate transport and anion permeation, of excitatory amino acid transporters (EAATs).

It opens avenues toward illuminating how EAATs regulate synaptic transmission and neurological conditions.

This is a collaborative study between the Bahar and Amara (NIH) labs, with key contributions from Drs. Delany Torres-Salazar and Mary Cheng

Cheng MH#, Torres-Salazar D #, Gonzalez-Suarez AD, Amara SG & Bahar I*, “Substrate transport and anion permeation proceed through distinct pathways in glutamate transporters”. eLife, (2017).

Takis and Collaborators Receive U01 Grant

Systems Level Causal Discovery in Heterogeneous TOPMed Data

Takis Benos PhD, Frank Sciurba MD, and  Panos Chrysanthis PhD

The team will investigate the mechanism, pathology and pathophysiology of chronic obstructive pulmonary disease (COPD) facilitation and progression by analyzing existing TOPMed clinical and omics datasets. COPD is the third leading cause of death and a major cause of disability and health care costs in the US.  The tools and methods developed through this grant will be made publicly available using cloud services.

Congratulations, Takis!

Carlos Camacho Receives R01


Innovations in computational techniques have enabled us to advance interactive virtual screening
platforms to speed up the identification of small molecules to disrupt protein function. As a step towards addressing polypharmacology issues, we plan to apply our state-of-the-art methodologies to build efficient tools to perform compound-and-target centric virtual screening of human proteins to discover pre-clinical compounds for hard to treat diseases.

CO-I on the grant is Alexander Dömling (U. of Groningen)

Chromosomal Dynamics using the GNM

From Hi-C maps to Chromosome Dynamics and Cross-Correlations between Gene Loci

This is the first structure-based study of chromosomal dynamics using elastic network models, between the Bahar and Kingsford labs.

zhang-nucl-acid-resIn this study, we constructed Gaussian Network Models (GNM) for chromosome structures based on Hi-C maps. The GNM analysis permits us to predict chromatin mobility profile, identify hierarchical structural domains, and discover cross-correlated distal domains (CCDDs). These biological findings were found consistent with various types of experimental data, including chromatin accessibility (ATAC-seq and DNase-seq), interacting pairs of regulatory elements and gene loci (ChIA-PET), and gene co-expression.

Sauerwald,N.*, Zhang,S.*, Kingsford,C., Bahar, I. (2017) Chromosomal dynamics predicted by an elastic network model explains genome-wide accessibility and long-range couplings. Nucleic Acids Research.


Dr. Bahar Featured in Biophysical Society’s Biophysics Week

Making a Difference by Daring to be Different: Read about the life and career of Ivet Bahar

  • Ivet’s beginning in Turkey, her home country, where she attained her degree and started her academic career
  • Her move to the US, where she founded our department and our Ph.D. program
  • Her pioneering work on the Gaussian Network Model, which has become an established tool to compute protein dynamics
  • Her continued scholarly success both at the University and nationally
  • And her advice to young researcher. Here is an excerpt:

    Ivet has had several female doctoral students even though women are underrepresented in her area of research. Ivet’s message to young women aspiring to have scientific careers is to be brave and to take risks. Women (as well as men) can do whatever they want but she says that they should not ‘wait’ and hope for the best time, as there may never be one, but just seize the day and do it.

See the Biophysical Society’s Tweet here:

Find the article here: