Evidence map›Paper›PMID 22035328›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2011

A geometric arrangement algorithm for structure determination of symmetric protein homo-oligomers from NOEs and RDCs.

Jeffrey W Martin, Anthony K Yan, Chris Bailey-Kellogg, Pei Zhou, Bruce R Donald

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Article in Journal of computational biology : a journal of computational molecular cell biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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3 · Its place in the literature

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5 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Jeffrey W MartinDepartment of Computer Science, Duke University, Durham, North Carolina 27708, USA.
Anthony K Yan
Chris Bailey-Kellogg
Pei Zhou
Bruce R Donald

Funding

Automated NMR Assignment and Protein Structure DeterminationR01GM065982 · NIGMS · DUKE UNIVERSITY · PI DONALD, BRUCE R. · 2002 to 2011
$2.7M
Structural, Biochemical and Functional Studies of RNAPII CTD Interacting ProteinsR01GM079376 · NIGMS · DUKE UNIVERSITY · PI ZHOU, PEI · 2008 to 2011
$1.2M
NIGMS NIH HHS R01 GM-079376NIGMS NIH HHS R01 GM-65982
6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is a primary tool to perform structural studies of proteins in physiologically-relevant solution conditions. Restraints on distances between pairs of nuclei in the protein, derived from the nuclear Overhauser effect (NOE), provide information about the structure of the protein in its folded state. NMR studies of symmetric protein homo-oligomers present a unique challenge. Using X-filtered NOESY experiments, it is possible to determine whether an NOE restrains a pair of protons across different subunits or within a single subunit, but current experimental techniques are unable to determine in which subunits the restrained protons lie. Consequently, it is difficult to assign NOEs to particular pairs of subunits with certainty, thus hindering the structural analysis of the oligomeric state. Computational approaches are needed to address this subunit ambiguity, but traditional solutions often rely on stochastic search coupled with simulated annealing and simulations of simplified molecular dynamics, which have many tunable parameters that must be chosen carefully and can also fail to report structures consistent with the experimental restraints. In addition, these traditional approaches rarely provide guarantees on running time or solution quality. We reduce the structure determination of homo-oligomers with cyclic symmetry to computing geometric arrangements of unions of annuli in a plane. Our algorithm, disco, runs in expected O(n²) time, where n is the number of distance restraints, potentially assigned ambiguously. disco is guaranteed to report the exact set of oligomer structures consistent with the distance restraints and also with orientational restraints from residual dipolar couplings (RDCs). We demonstrate our method using two symmetric protein complexes: the trimeric E. coli diacylglycerol kinase (DAGK) and a dimeric mutant of the immunoglobulin-binding domain B1 of streptococcal protein G (GB1). In both cases, disco computes oligomer structures with high precision and also finds distance restraints that are either mutually inconsistent or inconsistent with the RDCs. The entire protocol DISCO has been completely automated in a software package that is freely available and open-source at www.cs.duke.edu/donaldlab/software.php.

Indexed as

AlgorithmsBacterial ProteinsComputer SimulationDiacylglycerol KinaseDisulfidesEscherichia coli ProteinsMagnetic Resonance SpectroscopyModels, MolecularMultiprotein ComplexesProtein Structure, QuaternaryBacterial ProteinsDiacylglycerol KinaseDisulfidesEscherichia coli ProteinsIgG Fc-binding protein, StreptococcusMultiprotein Complexes

Identifiers

PMID22035328
PMCPMC3216109

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.