Non-globular proteins in the era of Machine Learning

COST Action CA21160

ML4NGP TRAINING SCHOOL

3rd ML4NGP Training School "NMR for Intrinsically Disordered Proteins"

February 3-7, 2025

Brno, Czech Republic

City view of Brno and CEITEC facilities, Czech Republic (royalty free images).

DESCRIPTION

The COST Action ML4NGP is pleased to announce the 3rd Training School on NMR for Intrinsically Disordered Proteins. 

Nuclear Magnetic Resonance (NMR) is a versatile technique that is also used to study biomolecules at atomic resolution, including intrinsically disordered proteins (IDPs). A variety of NMR techniques have been developed to obtain information about intermolecular contacts, conformational preferences, dynamics and interactions of proteins.

The aim of this Training School is to explore the origin of NMR data, the procedure of their analysis and interpretation, including potential sources of bias and error. Throughout almost one week, the participants will learn the principles and practicalities of NMR to better understand how data reflects IDP behavior in near-native states. Discussions on NMR and other experimental techniques will provide unique insights on the limitations of NMR for IDP research, creating opportunities for advancing the field.

The Training School is targeted for bioinformatics and life sciences researchers with minimal prior experience in NMR, emphasizing the fundamental understanding rather than conducting measurements. The program combines theoretical sessions and interactive discussions with hands-on practical sessions to ensure participants leave with a robust understanding of how NMR data is used, the possible biases in analysis, and how these insights are advancing our knowledge of non-globular proteins.

TARGET AUDIENCE AND REQUIREMENTS

Exclusive for the working group members of the COST Action CA21160. To ensure a balanced and diverse representation, participants will be selected by the organizing committee with attention to gender balance, early career stage (PhD students and junior postdocs), and geographic diversity. The number of spots available are limited to facilitate in-depth discussion and hands-on learning. 

This Training School is targeted for PhD students and early career postdocs with (nearly) zero experience of NMR who are interested in learning the basics of this technique to advance the study of non-globular proteins, with special focus on IDPs. Participants are expected to have prior knowledge and basic training in Bioinformatics and Computational Biology, or related sciences. Knowledge on NMR is not a requirement. 

Confirmed trainers

Pavel Kadeřávek (CEITEC-MU, Czech Republic)

Lukas Zidek (CEITEC-MU, Czech Republic)

Michele Vendruscolo (University of Cambridge, UK)

Julien Orts (University of Vienna, Austria)

Frans Mulder (Johannes Kepler University Linz, Austria)

Gyula Batta  (University of Debrecen, Hungary)

Dennis Kurzbach (University of Vienna, Austria)

Marco Schiavina (University of Florence, Italy)

Fabien Ferrage (CNRS, France)

Martin Blackledge (Institut de Biologie Structurale, France)

Isabelle Landrieu (Lille University, France)

Enrico Luchinat (University of Florence, Italy)

Hugo van Ingen (Utrecht University, the Netherlands)

preliminary PROGRAM

3 February 2025

13:00-17:00

Talks

4 February 2025

09:00-12:30

Talks

14:00-18:00

Hands-on sessions

5 February 2025

09:00-12:30

Talks

14:00-18:00

Hands-on sessions

6 February 2025

09:00-12:30

Talks

14:00-18:00

Hands-on sessions

7 February 2025

09:00-13:00

Talks and closing session

VENUE

The Training School will be organised at the CEITEC Masaryk University

Kamenice 753/5
625 00 Brno, Czech Republic

ORGANIZATION

LOCAL ORGANIZING COMMITTEE

Pavel Kadeřávek, Šárka Fajtlová, Dávid Tužinčin, Viktor Bartošík, Alice Laníková, Martin Černý, Viliam Volko (CEITEC Masaryk University, Czech Republic)

SCIENTIFIC organizing COMMITTEE

Core Group ML4NGP

This event is part of the activities of the COST Action ML4NGP, CA21160, which is supported by COST (European Cooperation in Science and Technology).