All efforts within the Membrane Protein Structural Dynamics Consortium (MPSDC) are aimed at gaining a deep mechanistic understanding of membrane protein function, linking structure to dynamics. The Computational Modeling Core D4, referred to as CMC, is a central unifying component of the MPSDC, serving as the ?glue? to assemble experimental data into a coherent physical picture. The goals of the CMC are to provide an intellectual resource to develop, validate and apply novel methods and technologies that support and integrate with the specific experimental studies in the MPSDC, as well as to facilitate the integration and dissemination of these computational methods within the MPSDC and the scientific community at large. Emphasis is placed on computational approaches that can enhance and deepen mechanistic insight by enabling valid and quantitative comparisons with experimental data. The research plan of the CMC is organized around three Specific Aims: Multi-Resolution Structural Modeling (Aim 1), where we develop an integrated multi- resolution computational framework to leverage the information that can be harvested from a diverse range of complementary experimental techniques to discover and/or to refine structural models of the different functional forms/states accessible to membrane proteins; Force Fields and Physical Representation of Membrane Proteins (Aim 2), where we will broaden the scope of open-access web- based tools to carry out state-of-the-art computations and establish standardized computational protocols to achieve the most realistic and accurate physical representation of membrane protein systems; and Conformational Transition Pathways and Functional Motions (Aim 2) where we advance the simulation tools for the determination of conformational transition pathways in large membrane proteins, and provide means to design experiments to test and validate those computational pathways.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM087519-08
Application #
9351544
Study Section
Special Emphasis Panel (ZGM1)
Project Start
2010-08-10
Project End
2019-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
8
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Chicago
Department
Type
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
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
Wang, Zongan; Jumper, John M; Wang, Sheng et al. (2018) A Membrane Burial Potential with H-Bonds and Applications to Curved Membranes and Fast Simulations. Biophys J 115:1872-1884
Infield, Daniel T; Matulef, Kimberly; Galpin, Jason D et al. (2018) Main-chain mutagenesis reveals intrahelical coupling in an ion channel voltage-sensor. Nat Commun 9:5055
Martens, Chloe; Shekhar, Mrinal; Borysik, Antoni J et al. (2018) Direct protein-lipid interactions shape the conformational landscape of secondary transporters. Nat Commun 9:4151
Vermaas, Josh V; Rempe, Susan B; Tajkhorshid, Emad (2018) Electrostatic lock in the transport cycle of the multidrug resistance transporter EmrE. Proc Natl Acad Sci U S A 115:E7502-E7511
Bailey, Lucas J; Sheehy, Kimberly M; Dominik, Pawel K et al. (2018) Locking the Elbow: Improved Antibody Fab Fragments as Chaperones for Structure Determination. J Mol Biol 430:337-347
Huang, Shengdian; Zhang, Hui; Paletta, Joseph T et al. (2018) Reduction kinetics and electrochemistry of tetracarboxylate nitroxides. Free Radic Res 52:327-334
Abramyan, Ara M; Quick, Matthias; Xue, Catherine et al. (2018) Exploring Substrate Binding in the Extracellular Vestibule of MhsT by Atomistic Simulations and Markov Models. J Chem Inf Model 58:1244-1252
Mahinthichaichan, Paween; Gennis, Robert B; Tajkhorshid, Emad (2018) Bacterial denitrifying nitric oxide reductases and aerobic respiratory terminal oxidases use similar delivery pathways for their molecular substrates. Biochim Biophys Acta Bioenerg 1859:712-724
Nanazashvili, Mikheil; Sánchez-Rodríguez, Jorge E; Fosque, Ben et al. (2018) LRET Determination of Molecular Distances during pH Gating of the Mammalian Inward Rectifier Kir1.1b. Biophys J 114:88-97

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