The long term goal of this Project is a mechanistic understanding is a dynamic three dimensional (3D) model of each NT molecule and its complexes with ligands. We plan to proceed with the following coordinated steps: 1. The cental aim is to develop 3D molecular models that incorporate data dn principles from structure-function probing of membrane proteins in general, and NT-s in particular. A consensus 3D model structure of NT-s will be developed, as well as specific models for DAT, SET, NET, GAT-1. Models obtained at each stage, informed by the results from experimental probing (and especially from our collaborative work within the PPG), will serve as working hypotheses for the design of further explorations (e.g., by SCAM, Zn-binding PPG), will serve as working hypotheses for the design of further explorations (e.g., by SCAM, Zn-binding site engineering and other mutation methods). In turn, the experimental data will inform refinements of both structure and function models. Stages of the modeling include: i) a 2/o structure map to guide experimental explorations of transmembrane (TM) segment topology and identification of local structure of TM segments and of their connecting """"""""loop"""""""" regions; ii) A map of protein-lipid and protein-protein interfaces to guide experimental explorations of the bundling of TM segments into TM domains of the NT-s; iii) identification of local adjacencies of TM segments from experiments and from computations of correlated and evolutionarily revertant mutations; iv) Exploration of inter-segment interactions and criteria for bundling. 2. We will identify in the structures of NT-s and their ligands, reactivity properties that determine the modes of NT-ligand interactions. These studies of molecular determinants for ligand activity will connect the NT modeling with results from experimental structure-function probing of NT-s in all the other Projects of this PPG. A practical goal is to develop design principles for novel ligands with discriminant pharmacological actions (e.g., cocaine antagonists). 3. To achieve (ultimately) an integration of the structural models with the mechanistic details of substrate, inhibition and electrophysiological modulation obtained in this PPG, increasingly larger portions of the 3D molecular models that are constructed iteratively in Specific Aim #1, will be explored computationally to identify local and global reactivity properties (pertaining to ligand-dependent mechanisms), and to characterize comparative changes in their dynamic properties.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Program Projects (P01)
Project #
5P01DA012408-03
Application #
6469231
Study Section
Project Start
2001-07-01
Project End
2002-06-30
Budget Start
Budget End
Support Year
3
Fiscal Year
2001
Total Cost
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10029
Mayer, Felix P; Schmid, Diethart; Owens, W Anthony et al. (2018) An unsuspected role for organic cation transporter 3 in the actions of amphetamine. Neuropsychopharmacology 43:2408-2417
Quick, Matthias; Abramyan, Ara M; Wiriyasermkul, Pattama et al. (2018) The LeuT-fold neurotransmitter:sodium symporter MhsT has two substrate sites. Proc Natl Acad Sci U S A 115:E7924-E7931
Herborg, Freja; Andreassen, Thorvald F; Berlin, Frida et al. (2018) Neuropsychiatric disease-associated genetic variants of the dopamine transporter display heterogeneous molecular phenotypes. J Biol Chem 293:7250-7262
Razavi, Asghar M; Khelashvili, George; Weinstein, Harel (2018) How structural elements evolving from bacterial to human SLC6 transporters enabled new functional properties. BMC Biol 16:31
Doktorova, Milka; Weinstein, Harel (2018) Accurate In Silico Modeling of Asymmetric Bilayers Based on Biophysical Principles. Biophys J 115:1638-1643
LeVine, Michael V; Cuendet, Michel A; Razavi, Asghar M et al. (2018) Thermodynamic Coupling Function Analysis of Allosteric Mechanisms in the Human Dopamine Transporter. Biophys J 114:10-14
Rahbek-Clemmensen, Troels; Lycas, Matthew D; Erlendsson, Simon et al. (2017) Super-resolution microscopy reveals functional organization of dopamine transporters into cholesterol and neuronal activity-dependent nanodomains. Nat Commun 8:740
Aguilar, Jenny I; Dunn, Matthew; Mingote, Susana et al. (2017) Neuronal Depolarization Drives Increased Dopamine Synaptic Vesicle Loading via VGLUT. Neuron 95:1074-1088.e7
Stolzenberg, Sebastian; Li, Zheng; Quick, Matthias et al. (2017) The role of transmembrane segment 5 (TM5) in Na2 release and the conformational transition of neurotransmitter:sodium symporters toward the inward-open state. J Biol Chem 292:7372-7384
Razavi, Asghar M; Khelashvili, George; Weinstein, Harel (2017) A Markov State-based Quantitative Kinetic Model of Sodium Release from the Dopamine Transporter. Sci Rep 7:40076

Showing the most recent 10 out of 146 publications