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NMR processing:
MDD
NMR assignment:
Backbone:
Autoassign
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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Unread 10-27-2010, 08:58 PM
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Default Promotional Sale

Promotional Sale


There are three possible reasons why you can be tempted by iNMR.
First reason: it's for research. It happens that they are not using iNMR in the industry, not because they don't like it, but because they don't buy Macs anymore in the industry. So, the majority of iNMR users are not doing repetitive activities. They don't ask to process 20 spectra in 20 seconds. Maybe they want to estimate the concentrations by time-consuming line-fitting or they want to monitor the phosphorylation of a protein by a series of thirty H-N HSQC, or they want to simulate the effect of a slow rotation, as they used to do with DNMR in the '70s. iNMR users asked for such things years ago and now you find them already into the program.
Second reason: students learn the program by themselves. Nowadays few research groups are pure-NMR-groups. When a new PhD students joins the lab, he has many techniques to learn, not just NMR processing. Luckily, iNMR has many things in common with the other applications he daily works with on his/her Mac. iNMR also helps novices to understand NMR processing because spectra are clearly depicted at every stage. A lot of things become natural after the first day of use.
Third reason: today Mestrelab has started a promotional sale, a sort of end-of-the-year clearance.
You can buy a disposable license at €90 instead of €150. You can download and try the program before buying.


Source: NMR Software blog
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