This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Cryo-EM is emerging as a primary tool not only for the elucidation of structural information but also for the examination of dynamical properties of supramolecular assemblies. To complement emerging information from EM, it is tempting to use existing X-ray data to construct atomic models. As large assemblies often undergo large functional rearrangements, the conformations of the available X-ray structures may not correspond to the conformation apparent in the cryo-EM data. In such cases, the fitting can be rather complicated, since not only the correct orientation needs to be found but conformational rearrangements must also be considered. However, current approaches deform the molecule in an ad-hoc way. Therefore, we have introduced a novel method for the quantitative flexible docking of a high-resolution structure into low-resolution maps of macromolecular complexes from EM that takes into account the conformational flexibility of biological systems.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR012255-14
Application #
7957343
Study Section
Special Emphasis Panel (ZRG1-BCMB-E (40))
Project Start
2009-09-01
Project End
2010-08-31
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
14
Fiscal Year
2009
Total Cost
$27,411
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Salmon, Loïc; Ahlstrom, Logan S; Horowitz, Scott et al. (2016) Capturing a Dynamic Chaperone-Substrate Interaction Using NMR-Informed Molecular Modeling. J Am Chem Soc 138:9826-39
Bruno, Paul A; Morriss-Andrews, Alex; Henderson, Andrew R et al. (2016) A Synthetic Loop Replacement Peptide That Blocks Canonical NF-?B Signaling. Angew Chem Int Ed Engl 55:14997-15001
Montiel-García, Daniel J; Mannige, Ranjan V; Reddy, Vijay S et al. (2016) Structure based sequence analysis of viral and cellular protein assemblies. J Struct Biol 196:299-308
Rosen, Laura E; Kathuria, Sagar V; Matthews, C Robert et al. (2015) Non-native structure appears in microseconds during the folding of E. coli RNase H. J Mol Biol 427:443-53
Cheng, Shanshan; Brooks 3rd, Charles L (2015) Protein-Protein Interfaces in Viral Capsids Are Structurally Unique. J Mol Biol 427:3613-3624
Carrillo-Tripp, Mauricio; Montiel-García, Daniel Jorge; Brooks 3rd, Charles L et al. (2015) CapsidMaps: protein-protein interaction pattern discovery platform for the structural analysis of virus capsids using Google Maps. J Struct Biol 190:47-55
Ahlstrom, Logan S; Law, Sean M; Dickson, Alex et al. (2015) Multiscale modeling of a conditionally disordered pH-sensing chaperone. J Mol Biol 427:1670-80
Mustoe, Anthony M; Brooks, Charles L; Al-Hashimi, Hashim M (2014) Hierarchy of RNA functional dynamics. Annu Rev Biochem 83:441-66
Nobrega, R Paul; Arora, Karunesh; Kathuria, Sagar V et al. (2014) Modulation of frustration in folding by sequence permutation. Proc Natl Acad Sci U S A 111:10562-7
Arthur, Evan J; King, John T; Kubarych, Kevin J et al. (2014) Heterogeneous preferential solvation of water and trifluoroethanol in homologous lysozymes. J Phys Chem B 118:8118-27

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