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Biomolecular NMR: Advanced Tools, AI perspective

Research

An advanced hands-on workshop (equiv to 3 ECTS)

Workshop
Date
28 Sep 2026 - 2 Oct 2026
Location
Swedish NMR Centre
Registration deadline
12 August 2026

Organizer
Vladislav Orekhov, Swedish NMR Centre at University of Gothenburg

Venue & Address

Swedish NMR Centre, University of Gothenburg, 
Medicinaregatan 5C, 41390 Gothenburg 

Webinar  Lectures

The lectures will be recorded.

Target group

PhD students and researchers with projects involving molecular characterization by NMR.

Format

Lectures, discussions, and practical hands-on exercises. 

Organizers and Contacts

Vladislav Orekhov, Swedish NMR Centre, University of Gothenburg, Sweden

Registration

Registration is closed.

Registration for NMRbox

(only for the students registered for the tutorial hands on sessions) 

Since this course will use NMRbox for the tutorial sessions, you must obtain an account (if you do not have it) at NMRbox.org .

Course Certificates and ECTS credit points   

In order to fully accomplish the course, the student should attend all tutorial lectures and practical sessions. For every tutorial session a short report should be submitted as outlined by the session instructors. After acceptance of the lab reports by the instructors, a course certificate can be requested.

Workshop teachers

  1. Björn Marcus Burmann (University of Gothenburg)
  2. Vicky Higman (University of Leicester, UK)
  3. Sebastian Hiller  (University Basel, Switzerland)
  4. Jalil Mahdizadeh (University of Gothenburg)
  5. Maksim Mayzel (Buker Biospin, Switzerland)
  6. Vladislav Orekhov (University of Gothenburg)
  7. Amir Jahangiri (University of Gothenburg)
  8. Konstantin Pervushin (Nanyang Technological University, Singapore)
  9. Xiaobo Qu & Tianyu Qiu (Xiamen University, China

Workshop content

  • Automated Assignment and Structure
  • AI in NMR spectra processing
  • Agentic AI in NMR workflows
  • Python tools in TopSpin
  • NMR with automated protein production
  • CCPN software toolbox for NMR data analysis
  • AI in drug discovery