Title |
Integrative NMR for biomolecular research
|
---|---|
Published in |
Journal of Biomolecular NMR, March 2016
|
DOI | 10.1007/s10858-016-0029-x |
Pubmed ID | |
Authors |
Woonghee Lee, Gabriel Cornilescu, Hesam Dashti, Hamid R. Eghbalnia, Marco Tonelli, William M. Westler, Samuel E. Butcher, Katherine A. Henzler-Wildman, John L. Markley |
Abstract |
NMR spectroscopy is a powerful technique for determining structural and functional features of biomolecules in physiological solution as well as for observing their intermolecular interactions in real-time. However, complex steps associated with its practice have made the approach daunting for non-specialists. We introduce an NMR platform that makes biomolecular NMR spectroscopy much more accessible by integrating tools, databases, web services, and video tutorials that can be launched by simple installation of NMRFAM software packages or using a cross-platform virtual machine that can be run on any standard laptop or desktop computer. The software package can be downloaded freely from the NMRFAM software download page ( http://pine.nmrfam.wisc.edu/download_packages.html ), and detailed instructions are available from the Integrative NMR Video Tutorial page ( http://pine.nmrfam.wisc.edu/integrative.html ). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Switzerland | 1 | 2% |
Unknown | 57 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 25% |
Researcher | 13 | 22% |
Student > Master | 7 | 12% |
Professor > Associate Professor | 5 | 8% |
Student > Bachelor | 4 | 7% |
Other | 8 | 13% |
Unknown | 8 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 24 | 40% |
Chemistry | 11 | 18% |
Agricultural and Biological Sciences | 7 | 12% |
Computer Science | 2 | 3% |
Engineering | 2 | 3% |
Other | 3 | 5% |
Unknown | 11 | 18% |