18-21 July 2022
online event
Through this course participants will experience different software for integrating different Structural Biology experimental data. Renowned structural biologists will present their research for which Integration of different techniques proved to be the only way to achieve the result. Psychological aspects of science communication and philosophical implication of integrative approaches, will be also approached.
The school is open to graduate students, postdocs, and Early Career Investigators. A maximum number of 20 participants will be considered for the three training sessions, whereas the lectures will be open.
Day 1 (morning only)
10:00-13:00 - Massimiliano Bonomi Integrative modeling including Cryo-EM in molecular dynamics simulations
Data will be provided for the participants to reproduce the calculations
10:00-13:00 - Massimiliano Bonomi Integrative modeling including Cryo-EM in molecular dynamics simulations
Data will be provided for the participants to reproduce the calculations
Day 2 (morning only)
10:00-13:00 - Enrico Ravera Combining high resolution x-ray data with NMR using REFMAC
Data will be provided for the participants to reproduce the calculations
Day 3 (morning only)
10:00-13:00 - Dina Schneidman-Duhovny Low resolution structural data integration and deep learning
10:00-13:00 - Dina Schneidman-Duhovny Low resolution structural data integration and deep learning
Data will be provided for the participants to reproduce the calculations
Day 4
11:00-11:35 - Christian Tarchi - Psychological aspects of Learning (20 minutes + examples)
11:35-11:50 - Lucia Banci - Introduction about the role of large-scale research infrastructures/ERICs (10-15 minutes)
11:50-12:05 - Antonio Rosato - Structural Biology data in the EOSC context
11:50-12:05 - Antonio Rosato - Structural Biology data in the EOSC context
12:05-12:40 - Alexandre Bonvin - Highlight lecture #1 (20 minutes + discussion)
12:40-13:10 - Lunch break
13:10-13:45 - Lucia Banci - Highlight lecture #2 (20 minutes + discussion)
12:45-14:20 - Frank Neese - Highlight lecture #3 (20 minutes + discussion)
12:45-14:20 - Frank Neese - Highlight lecture #3 (20 minutes + discussion)
14:20-14:30 - Coffee break
14:30-15:05 - Andrej Sali - Highlight lecture #4 (20 minutes + discussion)
14:30-15:05 - Andrej Sali - Highlight lecture #4 (20 minutes + discussion)
15:05-15:40 - David Stuart - Highlight lecture #5 (20 minutes + discussion)
15:40-15:50 - Coffee break
15:50-16:25 - Angela Gronenborn - Highlight lecture #6 (20 minutes + discussion)
16:25-17:10 - Sandra Mitchell - Philosophical aspects of Integration of different data sources in Science (30 minutes + discussion)
15:50-16:25 - Angela Gronenborn - Highlight lecture #6 (20 minutes + discussion)
16:25-17:10 - Sandra Mitchell - Philosophical aspects of Integration of different data sources in Science (30 minutes + discussion)
REGISTRATION here
Organizing committee:
Massimiliano Bonomi, Institut Pasteur (FR)
Enrico Ravera, UniFi/Instruct-IT (IT)
Dina Schneidman Duhovny, Hebrew University of Jerusalem (IL)
Christian Tarchi, UniFi (IT)