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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260627T223505Z
UID:24c2ccf1-2396-4611-8ef3-aa71cd656e84
DTSTART:20240411T120000Z
DTEND:20240411T140000Z
DESCRIPTION:The development of medicinal chemistry is advancing very rapidl
 y. Big pharmaceutical companies\, research institutes and universities are
  working on ground-breaking solutions to help patients combat all kinds of
  diseases. During that development process\, tons of data are generated 
 – not only from the lab environment but also from clinical trials. Since
  discovering more potent\, safer and cheaper drugs is the ultimate goal of
  all research bodies\, we should all focus on making the data we gather FA
 IR: Findable\, Accessible\, Interoperable\, and Reusable to push the bound
 aries of drug development even further.\nWith the currently available meth
 ods such as artificial intelligence\, machine learning\, many toolkits\, s
 oftware and access to various databases\, managing big data is now inheren
 tly linked to medicinal chemistry and helps to make this area as efficient
  as it can be.\nIn this training session\, we will explore some concepts r
 elated to FAIR data principles and medicinal chemistry\, explore the avail
 able chemical and pharmacological databases\, and perform some basic data 
 analyses using the Galaxy interface.\nParticipants are encouraged to famil
 iarise themselves with the Galaxy platform and available training material
 s.
SUMMARY:Data management in Medicinal Chemistry
URL;VALUE=URI:https://elixiruknode.org/event/data-management-medicinal-chem
 istry/
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