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NOEs:
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Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
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UNIO ATNOS-Candid
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Fragment-based:
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Template-based:
GeNMR
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Refinement:
Amber
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:
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Secondary structure from chemical shifts:
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Flexibility from chemical shifts:
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Interactions from chemical shifts:
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Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
LACS
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RefDB
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iCing
RDCs:
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Pseudocontact shifts:
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What-If
iCing
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NMR spectrum prediction:
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V-NMR
Flexibility from structure:
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Methyl S2
B-factor
Molecular dynamics:
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Chemical shifts prediction:
From structure:
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CH3shift- Methyl
ArShift- Aromatic
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Proshift
PPM
CheShift-2- Cα
From sequence:
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Poulsen_rc_CS
Disordered proteins:
MAXOCC
Format conversion & validation:
CCPN
From NMR-STAR 3.1
Validate NMR-STAR 3.1
NMR sample preparation:
Protein disorder:
DisMeta
Protein solubility:
camLILA
ccSOL
Camfold
camGroEL
Zyggregator
Isotope labeling:
UPLABEL
Solid-state NMR:
sedNMR


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Default Mapping the energy landscape of protein-ligand binding via linear free energy relationships determined by protein NMR relaxation dispersion

Mapping the energy landscape of protein-ligand binding via linear free energy relationships determined by protein NMR relaxation dispersion

Biochemical signaling is mediated by complexes between macromolecular receptors and their ligands, with the duration of the signal being directly related to the lifetime of the ligand-receptor complex. In the field of drug design, the recognition that drug efficacy in vivo depends on the lifetime of the drug-protein complex has spawned the concept of designing drugs with particular binding kinetics. To advance this field it is critical to investigate how the molecular details of designed ligands...

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