(Ivet Bahar, Mary Hongying Cheng; May 10, 2024)
Congratulatitons to Mary for her new position as Associate Director, Computational Drug Development at Supernus Pharmaceuticals, Inc. We will miss you, Mary!
(Carlos Ventura, Ivet Bahar, Satya Saha, Isabelle Kwan; May 30, 2024)
Cambridge Workshop: Ivet and students dive into HFSP research, May 30-31, 2024! Engaging talks by Carlos, Satya, and Isabelle + exciting sightseeing!
Congratulations to Laufer Center PhD students, Satya, Carlos, and Hoang, for their first contributions to scientific literature: Banerjee, Saha, et al. (2023) Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning. Curr Opin Struct Biol. 78, 102517; Ventura et al. (2024), Tandem-repeat proteins conformational mechanics are optimized to facilitate functional interactions Curr Opin Struct Biol 84, 10274; Nguyen et al. (2024) Allosteric modulation of serotonin and dopamine transporters Curr Res in Physiol, 100125. This is just the beginning of many more papers to come!
Warmest congratulations to Yan for successfully defending his thesis! We wish him the best in his new position at Ilumina.
(Ivet Bahar, Yan Zhang and Jianhua Xing; June 10th, 2022)
It is now Hannah's turn to move on to the next stage in her successful career to become an MD. Hannah, it has been such an enjoyable experience to work together!
(Frank Zhang, Hannah Shi & Ivet Bahar, Murdoch Terrace, July 14, 2021)
Fen is off to a successful career as Dr. Pei now, to do postdoctoral research at Silicon Therapeutics, Boston, Massachusetts. Dear Fen, we are so proud, and we all wish you a successful career. We will miss you!
Congratulations for TECBio 2018 student Jenea Adams featured in Nature Computational Science for connecting black women in computational biology! We thank her for her kind words: "My main role model was Ivet Bahar [..]. I saw a really powerful woman leading an important department at the university and in computational science, and she inspired me to reach for more and think outside of my comfort zone."
It is with mixed feelings that we are saying goodbye to Chelsea for now. It was a pleasure to host her in our lab and we wish her continued success with her studies and her career. We will be here, Chelsea, and still very close while being on different continents. We are certain that our paths will cross again. Thank you again for all of your valuable contributions.
Warmest congratulations to John for successfully defending his thesis, and accepting an offer from OpenEye — way to go John!
We are so pleased and proud to see that Dr. Hongchun Li is now a Faculty member at Shenzhen Institutes of Advanced Technology, as an Associate Research Professor at the Center for Computer-aided Drug Discovery, Institute of Biomedicine and Biotechnology, Chinese Academy of Sciences. Shenzhen, China. Congratulations, Hongchun, we are so happy for you!
(H Li & I Bahar, Bahar's home, 8/20/2019 )
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Publications 2020
Shared signature dynamics tempered by local fluctuations enables fold adaptability and specificity. (Mol Biol Evol 2019). Many families of proteins have been discovered to share similar folds but not necessarily similar sequences. It is of great interest to understand their evolutionarily conserved dynamical features as well as structural variations that contribute to their functional specificities. In this study, we performed a systematic computational analysis of 26,899 proteins belonging to 116 CATH super-families and examined the mode spectra of different protein super families by separate modes of motions into different frequency regimes.
Dr Ivet Bahar and co-authors Robert Jernigan and Ken Dill published a book, Protein Actions, with Garland Science. Check out this insightful article review here!
Improved pathogenicity prediction of missense variants based on structural dynamics considerations (PNAS 2018). We demonstrated that the analysis of a protein's intrinsic dynamics can be successfully used to improve the prediction of the effect of point mutations on a protein functionality. This method employs ANM/GNM tools implemented in the ProDy Python package, in conjunction with other well-established predictors based on amino acid conservation and structural properties of the mutation site (e.g. solvent-accessible surface area).
Webserver: rapsody.csb.pitt.edu
Anion conductance mechanism (eLife 2017) of excitatory amino acid transporters (EAATs). We identified an intermediate anion channeling state (iChS) during the global transition from the outward facing (OF) to inward facing state (IFS). Our prediction was tested and validated by experimental study of critical residues and interactions by SCAM, electrophysiology and substrate uptake experiments (Amara lab; NIH).
DynOmics: dynamics of structural proteome and beyond. (Nucleic Acids Res. 2017)The portal is a newly developed server, ENM 1.0, which permits users to efficiently generate information on the collective dynamics of any structure in the presence of external environment, from lipid bilayer and crystal contacts, to substrate or ligands bound to a protein, or surrounding subunits in a multimeric structure or assembly.
Comparative analysis of AMPAR and NMDAR dynamics reveals striking similiarities, opening the way to designing new modulators of allosteric interactions.
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Trimerization of dopamine transporter triggered by AIM-100 binding The Bahar (TR&D1) and Sorkin (DBP3) labs explored the trimerization of dopamine transporter (DAT) triggered by a furopyrimidine, AIM-100, using a combination of computational and biochemical methods, and single-molecule live-cell imaging assays. The study suggests the possibility of controlling dopamine transport upon altering the oligomerization state of DAT by small molecular binding, as a possible intervention strategy to modulate dopaminergic signaling.
Druggability Simulations and X-ray Crystallography Reveal a Ligand-binding Site in the GluA3 AMPA Receptor N-terminal Domain. We assessed the druggability of the ionotropic glutamate receptor subfamilies, using molecular dynamics simulations in the presence of drug-like molecules and new crystal structures. The study presents a novel ligand-binding site in the GluA3 N-terminal domain and provides pharmacophore features.
"Systems-level modeling identified a core network that enables cells to 'assess' cellular damage and make a 'life' or 'death' decision upon activating autophagy or apoptosis., in collaboration with the Perlmutter lab.
Cytoplasmic Ca2+ acts as a rheostat that fine-tunes autophagic and apoptotic responses through multiple feedback and feedforward loops. The proposed model also provides an in silico platform for developing pharmacological strategies for modulating cell decisions. "
"Allosteric modulation of intact γ-secretase structural dynamics", in collaboration with the Xie lab.
We analyzed the conformational dynamics of γ-secretase in the presence of lipid bilayer using an extension of the anisotropic network model (ANM) that takes account of lipid remodeling. The catalytic and allosteric site were identified using druggability simulations. A mechanic model was proposed to describe peptide binding, repositioning, cleavage and release.
"Connecting neuronal cell protective pathways and drug combinations in a Huntington's Disease model." We implementedQuantitative Systems Pharmacology(QSP) approach to gain a comprehensive, unbiased understanding of Huntington's disease processes to inform effective therapeutic strategies.
Structural dynamics, including allosteric switches, are evolutionarily maintained to accomplish biological activities, consistent with the paradigm sequence -> structure -> dynamics -> function where 'dynamics' bridges structure and function.
"Adaptability of protein structures to enable functional interactions and evolutionary implications " Turkan Haliloglu and Ivet BaharCurrent Opinion in Structural BIology (2015) 3517-23.
Targeting of dopamine transporter to filopodia requires an outward-facing conformation of the transporter. Using quantitative live-cell fluorescence microscopy (Sorkin lab) and molecular modeling (Bahar lab), we investigated the effects of the dopamine transporter (DAT) inhibitor cocaine and its fluorescent analog JHC1-64 on the plasma membrane distribution of wild-type DAT and two DAT mutants.
"IFNα2, a Type-I interferon, forms a ternary complex with two receptors, IFNAR1 and IFNAR2. The binding affinity of IFNα2 to these receptors, as well as downstream signaling strength, can be modulated by altering the dynamics of the IFNAR1. IFNα2 associated immune responses were shown to be modulated by introducing Cys-Cys double mutants which form cross-links between different subdomains of IFNAR1. This was a collaborative study with the Schreiber lab at the Weizmann Institute in Israel where experiments (binding and functional assays) have been performed."
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