Dear Participants of the “AI in Life Science I” workshopDue 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-lineThe 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 canceledThe 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 roomWe are looking forward to welcome all of you on October 26 at the first virtual “AI in Life Science “ workshopJiri Vondrasek, Daniel Georgiev and Jiri Damborsky organizersThis 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.ProgrammeMonday 26 October11:00 11:30 Arrival11:30 11:45 Welcome note Jiří Vondrášek12:30 13:15 Deep learning as a tool for in silico drug screening: Thomas Evangelidis, Institute of Organic Chemistry and Biochemistry13:15 14:30 Lunch break14:30 15:15 Machine learning: an interdisciplinary inspiration: Jan Švec, University of West Bohemia15:15 16:00 Machine learning-based detection of protein-ligand binding sites: David Hoksza, Charles University16:00 16:30 Coffee break16:30 17:15 NMR assignments using a single NOESY spectrum and machine learning: Konstantinos Tripsianes, CEITEC16:00 16:30 Coffee break16:30 17:15 NMR assignments using a single NOESY spectrum and machine learning: Konstantinos Tripsianes, CEITEC17:15 18:00 Prediction of protein aggregation using machine learning: Ekaterina Grakova & Antonin Kunka, IT4Innovations & Masaryk UniversityTuesday 27 October09:00 10:00 Hands-on Jan Švec, University of West Bohemia10:00 11:00 Hands-on Thomas Evangelidis, Institute of Organic Chemistry and Biochemistry11:00 12:00 Hands-on David Hoksza, Charles University12:00 13:00 Lunch break13:00 14:00 DepartureSessions description and ProfilesRegistrationDue 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.CostThis 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.VenueInstitute of Organic Chemistry and Biochemistry of the Czech Academy of SciencesFlemingovo náměstí 542/2166 10 Praha 6Czech RepublicWWW http://www.uochb.czOrganisersJiri VondrasekELIXIR CZ at IOCB AS CR, Czech RepublicJiri DamborskyUniversity Hospital at Saint Anna in Brno, FNUSA – ICRCDaniel GeorgievUniversity of West Bohemia
EBIF is a FREE one-day event that brings together bioinformaticians and technical specialists to explore solutions to major challenges in the data-driven life science sector. This year’s Forum will focus on Trusted research environments for sensitive data
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