Videos
High-Dimensional Spectroscopy to Tackle Complexity in Bio-NMR
During the 75th session of the Global NMR Discussion Meetings held on November 21st, 2023 via Zoom, Prof. Jan Stanek from the University of Warsaw in Poland, gave a talk on the topic "High-dimensional spectroscopy and other tools to tackle complexity in biological solid-state NMR". The recording serves as a tutorial.
Abstract:
Fast (sup. 60 kHz) magic-angle spinning provides high sensitivity and narrowed 1H linewidths. However, spectral analysis of large proteins are often severely hampered by peak overlap and/or ambiguity, depending on system size and sample quality. In this tutorial lecture, I will discuss several experimental techniques to address this, namely high-dimensional (4D, 5D) spectroscopy with non-uniform sampling, projection spectroscopy and time-shared acquisition. Additionally, I will explore selected tools for automation of resonance assignment and present early data on protein dynamics measurement as pseudo-4D series.
Website: http://nmr.cent3.uw.edu.pl/stanek
Using Deep Learning to Transform and Analyse NMR Data
During the 55th session of the Global NMR Discussion Meetings held on November 1st, 2022 via Zoom, Prof. Flemming Hansen from University College London, gave a talk on the topic "Using Deep Learning to Transform and Analyse NMR Data". The recording serves as a tutorial.
It will be shown how deep neural networks (DNNs) can be trained for reconstruction of sparsely sampled NMR spectra and for virtual homonuclear decoupling. Another area covered in the talk will be autonomous analysis of chemical exchange saturation transfer (CEST) data, where the trained DNN accurately predicts both the chemical shifts and the uncertainties associated with these.
Speaker's biography:
1997-2003: BSc+MSc, Chemistry + Physics, University of Copenhagen
2003-2005: PhD in Biophysical Chemistry (Prof. Jens Led) , University of Copenhagen
2005-2010: Postdoctoral fellow (Prof Lewis E. Kay), University of Toronto
2010-present: PI, University College London. Full Professor since 2017.
Follow Prof. Hansen's work here:
Twitter: https://twitter.com/dflemminghansen?l...
Google scholar: https://scholar.google.com/citations?...
Website: https://www.ucl.ac.uk/hansen-lab/flem...