Literature DB >> 12202140

Assignment strategy for proteins with known structure.

Jean-Christophe Hus1, Jeanine J Prompers, Rafael Brüschweiler.   

Abstract

In protein NMR the assignment of nuclear spin resonances is a prerequisite for all subsequent applications, such as studies of ligand binding, protein-DNA interactions, and dynamics. Resonance assignment is a time consuming step even when the 3D x-ray structure of the protein is available. A new strategy is presented to solve the "inverse" assignment problem, which is the determination of the NMR resonance assignment from a known 3D protein structure. The protocol employs NMR data in the form of residual dipolar couplings and chemical shifts, while it does not require any sequential NMR connectivity information. The assignment problem is mathematically formulated in terms of a weighted matching problem that can be computationally efficiently solved by a combinatorial optimization algorithm. The protocol is applied to ubiquitin using two or three residual dipolar couplings per amino acid measured in Pfl phage medium together with chemical shift information. The algorithm yields for more than 90% of the protein backbone resonances the correct assignment.

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Year:  2002        PMID: 12202140     DOI: 10.1006/jmre.2002.2569

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  19 in total

1.  Rapid protein fold determination using unassigned NMR data.

Authors:  Jens Meiler; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-10       Impact factor: 11.205

2.  Determination of molecular alignment tensors without backbone resonance assignment: Aid to rapid analysis of protein-protein interactions.

Authors:  Markus Zweckstetter
Journal:  J Biomol NMR       Date:  2003-09       Impact factor: 2.835

3.  Backbone assignment of proteins with known structure using residual dipolar couplings.

Authors:  Young-Sang Jung; Markus Zweckstetter
Journal:  J Biomol NMR       Date:  2004-09       Impact factor: 2.835

4.  Efficient chi-tensor determination and NH assignment of paramagnetic proteins.

Authors:  Christophe Schmitz; Michael John; Ah Young Park; Nicholas E Dixon; Gottfried Otting; Guido Pintacuda; Thomas Huber
Journal:  J Biomol NMR       Date:  2006-06-10       Impact factor: 2.835

5.  Structure-based protein NMR assignments using native structural ensembles.

Authors:  Mehmet Serkan Apaydin; Vincent Conitzer; Bruce Randall Donald
Journal:  J Biomol NMR       Date:  2008-03-26       Impact factor: 2.835

6.  Very large residual dipolar couplings from deuterated ubiquitin.

Authors:  Joshua M Ward; Nikolai R Skrynnikov
Journal:  J Biomol NMR       Date:  2012-07-25       Impact factor: 2.835

7.  NVR-BIP: Nuclear Vector Replacement using Binary Integer Programming for NMR Structure-Based Assignments.

Authors:  Mehmet Serkan Apaydin; Bülent Çatay; Nicholas Patrick; Bruce R Donald
Journal:  Comput J       Date:  2011-05-01       Impact factor: 1.494

8.  Automated assignment of NMR chemical shifts based on a known structure and 4D spectra.

Authors:  Matthias Trautwein; Kai Fredriksson; Heiko M Möller; Thomas E Exner
Journal:  J Biomol NMR       Date:  2016-08-02       Impact factor: 2.835

9.  AssignFit: a program for simultaneous assignment and structure refinement from solid-state NMR spectra.

Authors:  Ye Tian; Charles D Schwieters; Stanley J Opella; Francesca M Marassi
Journal:  J Magn Reson       Date:  2011-10-08       Impact factor: 2.229

10.  NOEnet--use of NOE networks for NMR resonance assignment of proteins with known 3D structure.

Authors:  Dirk Stratmann; Carine van Heijenoort; Eric Guittet
Journal:  Bioinformatics       Date:  2008-12-12       Impact factor: 6.937

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