Software Licensed by the Science Library: Features and Tools
The Robin Li and Melissa Ma Science Library has purchased campus-wide site licenses for several products. Access to all of these products is limited to current Stanford students, faculty, and staff.
Components of Mnova
These plugin features are included with the license file and default installation:
Plugins for Mnova
These plugins are also licensed, but they are not selected by default during installation.
You may install this plugin by selecting it from the list in ‘File > Advanced Plugins’
- Reaction MonitoringExtraction of spectroscopic and chemical kinetic concentration from arrayed NMR datasets.
Additional Tools
These Plugins require additional installations.
- DatabaseCreate a database integrated within Mnova for the shared storage and search of molecular structures, NMR and LC-MS and GC-MS analytical data.
Separate download available at https://mestrelab.com/download/mnova/db/ - StereoFitterMnova StereoFitter computes the probability of 3D structural configurations and/or conformations, based on various forms of NMR experimental data input. Currently, StereoFitter can accept four distinct types of input in order to calculate the best 3D structure candidate(s): NOEs, RDCs, Js, and chemical shifts.
- FreewareThree standalone pieces of software, that require no licensing to improve your workflows:
ExsyCalc- quantitative analysis of EXSY experiments to calculate the rate constants.
MestReJ- A free tool for the prediction of vicinal proton-proton 3J(HH) coupling constants.
MestReS- A virtual NMR simulator to learn and practice the NMR instrumental techniques.
- At a glance
- Cambridge Structural DatabaseToggle Dropdown
- ChemDraw Office, Signals Notebook, + CloudToggle Dropdown
- CrystalMakerToggle Dropdown
- Mnova
- OriginProToggle Dropdown
- PyMOL and AxPyMOLToggle Dropdown
- Schrödinger [unformatted]Toggle Dropdown
Questions?
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Amanda Nelson
Chemistry & Chemical Engineering Librarian
Contact:
650-542-1357
Website
Social: LinkedIn Page
- Last Updated: Jan 13, 2025 5:26 PM
- URL: https://guides.library.stanford.edu/scilib-software
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