{"publication_identifier":{"issn":["1367-4803","1460-2059"]},"type":"journal_article","month":"08","keyword":["Statistics and Probability","Computational Theory and Mathematics","Biochemistry","Molecular Biology","Computational Mathematics","Computer Science Applications"],"date_published":"2014-08-01T00:00:00Z","date_created":"2020-09-18T10:08:07Z","oa_version":"None","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","status":"public","title":"Relax: The analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data","extern":"1","citation":{"chicago":"Morin, Sébastien, Troels E Linnet, Mathilde Lescanne, Paul Schanda, Gary S Thompson, Martin Tollinger, Kaare Teilum, et al. “Relax: The Analysis of Biomolecular Kinetics and Thermodynamics Using NMR Relaxation Dispersion Data.” Bioinformatics. Oxford University Press, 2014. https://doi.org/10.1093/bioinformatics/btu166.","ieee":"S. Morin et al., “Relax: The analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data,” Bioinformatics, vol. 30, no. 15. Oxford University Press, pp. 2219–2220, 2014.","apa":"Morin, S., Linnet, T. E., Lescanne, M., Schanda, P., Thompson, G. S., Tollinger, M., … d’Auvergne, E. J. (2014). Relax: The analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data. Bioinformatics. Oxford University Press. https://doi.org/10.1093/bioinformatics/btu166","mla":"Morin, Sébastien, et al. “Relax: The Analysis of Biomolecular Kinetics and Thermodynamics Using NMR Relaxation Dispersion Data.” Bioinformatics, vol. 30, no. 15, Oxford University Press, 2014, pp. 2219–20, doi:10.1093/bioinformatics/btu166.","ista":"Morin S, Linnet TE, Lescanne M, Schanda P, Thompson GS, Tollinger M, Teilum K, Gagné S, Marion D, Griesinger C, Blackledge M, d’Auvergne EJ. 2014. Relax: The analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data. Bioinformatics. 30(15), 2219–2220.","short":"S. Morin, T.E. Linnet, M. Lescanne, P. Schanda, G.S. Thompson, M. Tollinger, K. Teilum, S. Gagné, D. Marion, C. Griesinger, M. Blackledge, E.J. d’Auvergne, Bioinformatics 30 (2014) 2219–2220.","ama":"Morin S, Linnet TE, Lescanne M, et al. Relax: The analysis of biomolecular kinetics and thermodynamics using NMR relaxation dispersion data. Bioinformatics. 2014;30(15):2219-2220. doi:10.1093/bioinformatics/btu166"},"intvolume":" 30","author":[{"first_name":"Sébastien","full_name":"Morin, Sébastien","last_name":"Morin"},{"full_name":"Linnet, Troels E","last_name":"Linnet","first_name":"Troels E"},{"full_name":"Lescanne, Mathilde","last_name":"Lescanne","first_name":"Mathilde"},{"full_name":"Schanda, Paul","last_name":"Schanda","first_name":"Paul","orcid":"0000-0002-9350-7606","id":"7B541462-FAF6-11E9-A490-E8DFE5697425"},{"first_name":"Gary S","last_name":"Thompson","full_name":"Thompson, Gary S"},{"last_name":"Tollinger","full_name":"Tollinger, Martin","first_name":"Martin"},{"first_name":"Kaare","last_name":"Teilum","full_name":"Teilum, Kaare"},{"first_name":"Stéphane","last_name":"Gagné","full_name":"Gagné, Stéphane"},{"last_name":"Marion","full_name":"Marion, Dominique","first_name":"Dominique"},{"first_name":"Christian","last_name":"Griesinger","full_name":"Griesinger, Christian"},{"last_name":"Blackledge","full_name":"Blackledge, Martin","first_name":"Martin"},{"full_name":"d’Auvergne, Edward J","last_name":"d’Auvergne","first_name":"Edward J"}],"related_material":{"link":[{"relation":"erratum","url":"https://doi.org/10.1093/bioinformatics/btz397"}]},"quality_controlled":"1","abstract":[{"text":"Nuclear magnetic resonance (NMR) is a powerful tool for observing the motion of biomolecules at the atomic level. One technique, the analysis of relaxation dispersion phenomenon, is highly suited for studying the kinetics and thermodynamics of biological processes. Built on top of the relax computational environment for NMR dynamics is a new dispersion analysis designed to be comprehensive, accurate and easy-to-use. The software supports more models, both numeric and analytic, than current solutions. An automated protocol, available for scripting and driving the graphical user interface (GUI), is designed to simplify the analysis of dispersion data for NMR spectroscopists. Decreases in optimization time are granted by parallelization for running on computer clusters and by skipping an initial grid search by using parameters from one solution as the starting point for another —using analytic model results for the numeric models, taking advantage of model nesting, and using averaged non-clustered results for the clustered analysis.","lang":"eng"}],"day":"01","year":"2014","volume":30,"publisher":"Oxford University Press","language":[{"iso":"eng"}],"publication_status":"published","doi":"10.1093/bioinformatics/btu166","issue":"15","page":"2219-2220","date_updated":"2021-01-12T08:19:25Z","publication":"Bioinformatics","_id":"8459"}