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High-resolution protein complexes from integrating genomic information with molecular simulation.
Title | High-resolution protein complexes from integrating genomic information with molecular simulation. |
Publication Type | Journal Article |
Year of Publication | 2009 |
Authors | Schug, A, Weigt, M, Onuchic, JN, Hwa, T, Szurmant, H |
Journal | Proc Natl Acad Sci U S A |
Volume | 106 |
Issue | 52 |
Pagination | 22124-9 |
Date Published | 2009 Dec 29 |
ISSN | 1091-6490 |
Keywords | Amino Acid Sequence, Bacterial Proteins, Biophysical Phenomena, Computer Simulation, Crystallography, X-Ray, Genomics, Intracellular Signaling Peptides and Proteins, Models, Molecular, Molecular Sequence Data, Multiprotein Complexes, Protein Kinases, Sequence Alignment, Thermodynamics, Thermotoga maritima |
Abstract | Bacteria use two-component signal transduction systems (TCS) extensively to sense and react to external stimuli. In these, a membrane-bound sensor histidine kinase (SK) autophosphorylates in response to an environmental stimulus and transfers the phosphoryl group to a transcription factor/response regulator (RR) that mediates the cellular response. The complex between these two proteins is ruled by transient interactions, which provides a challenge to experimental structure determination techniques. The functional and structural homolog of an SK/RR pair Spo0B/Spo0F, however, has been structurally resolved. Here, we describe a method capable of generating structural models of such transient protein complexes. By using existing structures of the individual proteins, our method combines bioinformatically derived contact residue information with molecular dynamics simulations. We find crystal resolution accuracy with existing crystallographic data when reconstituting the known system Spo0B/Spo0F. Using this approach, we introduce a complex structure of TM0853/TM0468 as an exemplary SK/RR TCS, consistent with all experimentally available data. |
DOI | 10.1073/pnas.0912100106 |
Alternate Journal | Proc. Natl. Acad. Sci. U.S.A. |
PubMed ID | 20018738 |
PubMed Central ID | PMC2799721 |
Grant List | 019416 / / PHS HHS / United States R01GM077298 / GM / NIGMS NIH HHS / United States |