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NMR processing:
MDD
NMR assignment:
Backbone:
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MARS
UNIO Match
PINE
Side-chains:
UNIO ATNOS-Ascan
NOEs:
UNIO ATNOS-Candid
UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
XPLOR-NIH
ASDP
UNIO ATNOS-Candid
UNIO Candid
Fragment-based:
BMRB CS-Rosetta
Rosetta-NMR (Robetta)
Template-based:
GeNMR
I-TASSER
Refinement:
Amber
Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
BMRB CS-Rosetta
Homology-based:
CS23D
Simshift
Torsion angles from chemical shifts:
Preditor
TALOS
Promega- Proline
Secondary structure from chemical shifts:
CSI (via RCI server)
TALOS
MICS caps, β-turns
d2D
PECAN
Flexibility from chemical shifts:
RCI
Interactions from chemical shifts:
HADDOCK
Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
LACS
CheckShift
RefDB
NMR model quality:
NOEs, other restraints:
PROSESS
PSVS
RPF scores
iCing
Chemical shifts:
PROSESS
CheShift2
Vasco
iCing
RDCs:
DC
Anisofit
Pseudocontact shifts:
Anisofit
Protein geomtery:
Resolution-by-Proxy
PROSESS
What-If
iCing
PSVS
MolProbity
SAVES2 or SAVES4
Vadar
Prosa
ProQ
MetaMQAPII
PSQS
Eval123D
STAN
Ramachandran Plot
Rampage
ERRAT
Verify_3D
Harmony
Quality Control Check
NMR spectrum prediction:
FANDAS
MestReS
V-NMR
Flexibility from structure:
Backbone S2
Methyl S2
B-factor
Molecular dynamics:
Gromacs
Amber
Antechamber
Chemical shifts prediction:
From structure:
Shiftx2
Sparta+
Camshift
CH3shift- Methyl
ArShift- Aromatic
ShiftS
Proshift
PPM
CheShift-2- Cα
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:
UPLABEL
Solid-state NMR:
sedNMR


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Default Evaluation of transmembrane helix prediction methods using the recently defined NMR s

Evaluation of transmembrane helix prediction methods using the recently defined NMR structures of the coat proteins from bacteriophages M13 and Pf1.

Related Articles Evaluation of transmembrane helix prediction methods using the recently defined NMR structures of the coat proteins from bacteriophages M13 and Pf1.

Biochim Biophys Acta. 1993 Sep 3;1202(1):161-8

Authors: Turner RJ, Weiner JH

Currently, there are a large number of hydropathy scales available to predict the presence of transmembrane segments within integral membrane proteins. These scales and their subsequent numerical manipulations provide an aid in the determination of topology in transmembrane proteins. In order to analyse the accuracy of these procedures to correctly identify the boundaries of a transmembrane segment, 13 methods were applied to the amino-acid sequence of the coat proteins from the bacteriophages Pf1 and M13. These monotopic integral membrane proteins have been incorporated into detergent micelles and their structures have recently been solved using NMR. The predicted regions were then compared to their NMR-determined structures. All methods used were able to detect a transmembrane region within the protein sequence. However, there was considerable differences in their accuracy in determining the boundaries of the main transmembrane alpha-helix. Surprisingly, the methods which worked the best for Pf1 coat protein had poor accuracy in identifying the transmembrane region correctly in the M13 protein. It was concluded that a number of methods should be utilized in order to obtain a clear model of transmembrane protein topology, and that regardless of how closely related two proteins are, a different conclusion may be obtained from different prediction procedures.

PMID: 8373820 [PubMed - indexed for MEDLINE]



Source: PubMed
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