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DTSTAMP:20260808T235627Z
UID:2d935b1f-c543-49ce-85c7-0a1bcb19b4d5
DTSTART:20230925T070000Z
DTEND:20230929T150000Z
DESCRIPTION:The course is aimed at disseminating important in silico tools\
 , such that experimental researchers\, Ph.D. students\, and young postdocs
 \, can apply them in their research projects. The topics addressed in the 
 course are covered by leading scientists. The computational expert speaker
 s will give comprehensive lectures and demonstrations on how to use their 
 web-based applications and software\, whereas the experimental researchers
  will give lectures on how these in silico tools have successfully guided 
 them towards finding answers related to their research in the field of enz
 yme catalysis. The aim of this advanced course is to bring together comput
 ational and experimental communities providing a valuable bridge between t
 heory and experiment. Our program provides opportunities for active intera
 ctions between all the participants through lectures\, demonstrations\, tu
 torials\, discussions\, as well as poster and oral presentations given by 
 the student participants.\n \n\nLooking forward to meeting you in Septembe
 r!\n\nAleksandra Maršavelski and Outi Lampela\nOn behalf of the Course Or
 ganizing committee
LOCATION:University of Zagreb\, Faculty of Science\, Department of Chemistr
 y
SUMMARY:Computational Approaches to Understanding and Engineering Enzyme Ca
 talysis
URL;VALUE=URI:https://computationalenzymeengineering2023.febsevents.org/
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