Biomolecular NMR: Advanced Tools, Machine Learning
Research
An advanced hands-on PhD course (3 ECTS)
Course
An advanced hands-on PhD course (3 ECTS)
Venue: Swedish NMR Centre, University 91̽»¨, Sweden
Webinar & NMRbox.org
Target group: PhD students and researchers with projects involving protein characterization by NMR
Format: Lectures, discussions, and practical hands-on exercises.
Organizers and 91̽»¨s: Vladislav Orekhov, Göran Karlsson; Chemistry & Molecular Biology & Swedish NMR Centre, University 91̽»¨, Sweden; Ilya Kuprov, University of Southampton, UK
Registration: the registration is free; send your contact info and a motivation to attend the course (max 1 page) to vladislav.orekhov [at] nmr.gu.se, deadline – 2 Aug 2022;
Number of participants for the hands-on sessions is limited.
Subsidized accommodation in double rooms is available. Please indicate if you need it.
Teachers:
Peter Guentert, Piotr Klukowski, (ETH Zürich, Switzerland)
Vladislav Orekhov, Amir Jahangiri (University 91̽»¨, Sweden)
James Prestegard, (University of Georgia, GA, USA)
D. Flemming Hansen, (UCL, London, UK)
Ilya Kuprov, (University of Southampton, UK)
Xiaobo Qu, (Xiamen University, China)
Adam Schuyler, (UConn Health, CT, USA)
Simon Bruderer, Federico Paruzzo, (Buker Biospin, Switzerland)
Angus J.Robertson (Lund University, Sweden)
Topics:
Machine Learning basics
NMR Spectra processing
NUS spectra by neural networks
Software Homodecoupling
Automated assignment and structure
AlphaFold and NMR