Dear Participants of the “AI in Life Science I” workshop

Due to the current situation in the Czech republic regarding COVID-19 pandemy we decided to rearrange the planned workshop as follows:

• All presentations will be on-line and we also plan that all participants will join the virtual meeting on-line
• The hands-on practical part will be postponed to make possible meetings of trainers and trainees in person in close future. The second day of the workshop is therefore canceled
• The coordinates of the meeting place will be sent this Friday, October 23. We plan to use GoTo meeting platform.
• Limit of the meeting is 100 people, registration is necessary to get the key to enter lecture room

We are looking forward to welcome all of you on October 26 at the first virtual “AI in Life Science “ workshop

Jiri Vondrasek, Daniel Georgiev and Jiri Damborsky – organizers

This workshop will provide a basic introduction to machine learning and its application in Life Sciences, with a special focus on molecular and cell biology. Data-driven approaches penetrate various scientific disciplines, including the fields of biology, biochemistry and biotechnology. Novel technologies of high-throughput data collection and advanced data analysis, such as deep neural networks, offer exceptional opportunities for the development of very complex and accurate mathematical models. The theoretical lectures will cover main methods, algorithms and technologies, illustrate their use in biology and biochemistry research using real-life examples. Hands-on practicals will provide participants with essential skills for the application of machine learning methods and software tools for solving problems in Life Sciences. We plan to continue in our effort to organize follow-ups of this meeting and focus on challenging issues in life science disciplines approachable by AI technology.

Programme

Monday 26 October

11:00 – 11:30     Arrival

11:30 – 11:45     Welcome note Jiří Vondrášek
12:30 – 13:15     Deep learning as a tool for in silico drug screening: Thomas Evangelidis, Institute of Organic Chemistry and Biochemistry

13:15 – 14:30     Lunch break

14:30 – 15:15     Machine learning: an interdisciplinary inspiration: Jan Švec, University of West Bohemia
15:15 – 16:00     Machine learning-based detection of protein-ligand binding sites: David Hoksza, Charles University

16:00 – 16:30     Coffee break

16:30 – 17:15     NMR assignments using a single NOESY spectrum and machine learning: Konstantinos Tripsianes, CEITEC

16:00 – 16:30     Coffee break

16:30 – 17:15     NMR assignments using a single NOESY spectrum and machine learning: Konstantinos Tripsianes, CEITEC
17:15 – 18:00     Prediction of protein aggregation using machine learning: Ekaterina Grakova & Antonin Kunka, IT4Innovations & Masaryk University

Tuesday 27 October

09:00 – 10:00     Hands-on – Jan Švec, University of West Bohemia
10:00 – 11:00     Hands-on – Thomas Evangelidis, Institute of Organic Chemistry and Biochemistry
11:00 – 12:00     Hands-on – David Hoksza, Charles University

12:00 – 13:00     Lunch break

13:00 – 14:00     Departure

Sessions description and Profiles

Registration

Due to limited capacity of the Multipurpose hall, we have to limit number of participants on-site to 25 and remote to 50. Registration is closed.

Cost

This event is organized by the ELIXIR CZ infrastructure and registration is free of charge. Travel costs to the event and accommodation will be at your own expense.

Venue

Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences

Flemingovo náměstí 542/2
166 10 Praha 6
Czech Republic
WWW – http://www.uochb.cz

Organisers

Jiri Vondrasek
ELIXIR CZ at IOCB AS CR, Czech Republic

Jiri Damborsky
University Hospital at Saint Anna in Brno, FNUSA – ICRC

Daniel Georgiev
University of West Bohemia