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NMR processing:
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MARS
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NOEs:
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UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
XPLOR-NIH
ASDP
UNIO ATNOS-Candid
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Fragment-based:
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Template-based:
GeNMR
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Refinement:
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Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
BMRB CS-Rosetta
Homology-based:
CS23D
Simshift
Torsion angles from chemical shifts:
Preditor
TALOS
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Secondary structure from chemical shifts:
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TALOS
MICS caps, β-turns
d2D
PECAN
Flexibility from chemical shifts:
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Chemical shifts re-referencing:
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UNIO Shiftinspector
LACS
CheckShift
RefDB
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Methyl S2
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Molecular dynamics:
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From structure:
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Camshift
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From sequence:
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Camcoil
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Disordered proteins:
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Format conversion & validation:
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From NMR-STAR 3.1
Validate NMR-STAR 3.1
NMR sample preparation:
Protein disorder:
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Protein solubility:
camLILA
ccSOL
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Solid-state NMR:
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Default EZ-ASSIGN, a program for exhaustive NMR chemical shift assignments of large proteins from complete or incomplete triple-resonance data.

EZ-ASSIGN, a program for exhaustive NMR chemical shift assignments of large proteins from complete or incomplete triple-resonance data.

Related Articles EZ-ASSIGN, a program for exhaustive NMR chemical shift assignments of large proteins from complete or incomplete triple-resonance data.

J Biomol NMR. 2013 Sep 11;

Authors: Zuiderweg ER, Bagai I, Rossi P, Bertelsen EB

Abstract
For several of the proteins in the BioMagResBank larger than 200 residues, 60*% or fewer of the backbone resonances were assigned. But how reliable are those assignments? In contrast to complete assignments, where it is possible to check whether every triple-resonance Generalized Spin System (GSS) is assigned once and only once, with incomplete data one should compare all possible assignments and pick the best one. But that is not feasible: For example, for 200 residues and an incomplete set of 100 GSS, there are 1.6*×*10(260) possible assignments. In "EZ-ASSIGN", the protein sequence is divided in smaller unique fragments. Combined with intelligent search approaches, an exhaustive comparison of all possible assignments is now feasible using a laptop computer. The program was tested with experimental data of a 388-residue domain of the Hsp70 chaperone protein DnaK and for a 351-residue domain of a type III secretion ATPase. EZ-ASSIGN reproduced the hand assignments. It did slightly better than the computer program PINE (Bahrami et al. in PLoS Comput Biol 5(3):e1000307, 2009) and significantly outperformed SAGA (Crippen et al. in J Biomol NMR 46:281-298, 2010), AUTOASSIGN (Zimmerman et al. in J Mol Biol 269:592-610, 1997), and IBIS (Hyberts and Wagner in J Biomol NMR 26:335-344, 2003). Next, EZ-ASSIGN was used to investigate how well NMR data of decreasing completeness can be assigned. We found that the program could confidently assign fragments in very incomplete data. Here, EZ-ASSIGN dramatically outperformed all the other assignment programs tested.


PMID: 24022834 [PubMed - as supplied by publisher]



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