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Ab initio:
GeNMR
Cyana
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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
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Homology-based:
CS23D
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Torsion angles from chemical shifts:
Preditor
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Secondary structure from chemical shifts:
CSI (via RCI server)
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Flexibility from chemical shifts:
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Chemical shifts re-referencing:
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Molecular dynamics:
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From structure:
Shiftx2
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ArShift- Aromatic
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Proshift
PPM
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From sequence:
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Camcoil
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Disordered proteins:
MAXOCC
Format conversion & validation:
CCPN
From NMR-STAR 3.1
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NMR sample preparation:
Protein disorder:
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Protein solubility:
camLILA
ccSOL
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Zyggregator
Isotope labeling:
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Old 09-07-2013, 09:54 PM
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Default Profiling Formulated Monoclonal Antibodies by 1H NMR Spectroscopy.

Profiling Formulated Monoclonal Antibodies by 1H NMR Spectroscopy.

Profiling Formulated Monoclonal Antibodies by 1H NMR Spectroscopy.

Anal Chem. 2013 Sep 5;

Authors: Poppe L, Jordan JB, Lawson K, Jerums M, Apostol I, Schnier PD

Abstract
Nuclear magnetic resonance (NMR) is arguably the most direct methodology for characterizing the higher-order structure of proteins in solution. Structural characterization of proteins by NMR typically utilizes heteronuclear experiments. However, for formulated monoclonal antibody (mAb) therapeutics, the use of these approaches is not currently tenable due the requirements of isotope labeling, the large size of the proteins, and the restraints imposed by various formulations. Here, we present a new strategy to characterize formulated mAbs using 1H NMR. This method, based on the pulsed field gradient stimulated echo (PGSTE) experiment, facilitates the use of 1H NMR to generate highly resolved spectra of intact mAbs in their formulation buffers. This method of data acquisition, along with post-acquisition signal processing, allows the generation of structural and hydrodynamic profiles of antibodies. We demonstrate how variation of the PGSTE pulse sequence parameters allows proton relaxation rates and relative diffusion coefficients to be obtained in a simple fashion. This new methodology can be used as a robust way to compare and characterize mAb therapeutics.


PMID: 24006877 [PubMed - as supplied by publisher]



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