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ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
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UNIO ATNOS-Candid
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Fragment-based:
BMRB CS-Rosetta
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Template-based:
GeNMR
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Refinement:
Amber
Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
BMRB CS-Rosetta
Homology-based:
CS23D
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Torsion angles from chemical shifts:
Preditor
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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:
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Flexibility from structure:
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Methyl S2
B-factor
Molecular dynamics:
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From structure:
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CH3shift- Methyl
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ShiftS
Proshift
PPM
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From sequence:
Shifty
Camcoil
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:
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Solid-state NMR:
sedNMR


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Old 11-24-2010, 11:14 PM
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Default An integrated platform for automated analysis of protein NMR structures.

An integrated platform for automated analysis of protein NMR structures.

Related Articles An integrated platform for automated analysis of protein NMR structures.

Methods Enzymol. 2005;394:111-41

Authors: Huang YJ, Moseley HN, Baran MC, Arrowsmith C, Powers R, Tejero R, Szyperski T, Montelione GT

Recent developments provide automated analysis of NMR assignments and three-dimensional (3D) structures of proteins. These approaches are generally applicable to proteins ranging from about 50 to 150 amino acids. In this chapter, we summarize progress by the Northeast Structural Genomics Consortium in standardizing the NMR data collection process for protein structure determination and in building an integrated platform for automated protein NMR structure analysis. Our integrated platform includes the following principal steps: (1) standardized NMR data collection, (2) standardized data processing (including spectral referencing and Fourier transformation), (3) automated peak picking and peak list editing, (4) automated analysis of resonance assignments, (5) automated analysis of NOESY data together with 3D structure determination, and (6) methods for protein structure validation. In particular, the software AutoStructure for automated NOESY data analysis is described in this chapter, together with a discussion of practical considerations for its use in high-throughput structure production efforts. The critical area of data quality assessment has evolved significantly over the past few years and involves evaluation of both intermediate and final peak lists, resonance assignments, and structural information derived from the NMR data. Methods for quality control of each of the major automated analysis steps in our platform are also discussed. Despite significant remaining challenges, when good quality data are available, automated analysis of protein NMR assignments and structures with this platform is both fast and reliable.

PMID: 15808219 [PubMed - indexed for MEDLINE]



Source: PubMed
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