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NMR processing:
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NMR assignment:
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Side-chains:
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NOEs:
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Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
XPLOR-NIH
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Fragment-based:
BMRB CS-Rosetta
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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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Interactions from chemical shifts:
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Chemical shifts re-referencing:
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NMR model quality:
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Chemical shifts:
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RDCs:
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NMR spectrum prediction:
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Flexibility from structure:
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Methyl S2
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Molecular dynamics:
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From structure:
Shiftx2
Sparta+
Camshift
CH3shift- Methyl
ArShift- Aromatic
ShiftS
Proshift
PPM
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From sequence:
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Disordered proteins:
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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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Isotope labeling:
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Solid-state NMR:
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Old 06-21-2015, 07:25 AM
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Default PPM_One: a static protein structure based chemical shift predictor

PPM_One: a static protein structure based chemical shift predictor

Abstract

We mined the most recent editions of the BioMagResDataBank and the protein data bank to parametrize a new empirical knowledge-based chemical shift predictor of protein backbone atoms using either a linear or an artificial neural network model. The resulting chemical shift predictor PPM_One accepts a single static 3D structure as input and emulates the effect of local protein dynamics via interatomic steric contacts. Furthermore, the chemical shift prediction was extended to most side-chain protons and it is found that the prediction accuracy is at a level allowing an independent assessment of stereospecific assignments. For a previously established set of test proteins some overall improvement was achieved over current top-performing chemical shift prediction programs.



Source: Journal of Biomolecular NMR
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