BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:UMCES Events
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:STANDARD
DTSTART:20191103T020000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20200308T020000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.4893.field_date_time.0@www.umces.edu
DTSTAMP:20260408T010306Z
CREATED:20191108T134705Z
DESCRIPTION:March 4\, 2020 3:00pm to 4:00pm    \n    \n      \n\n\n    \n\n
               \nInstitute of Marine & Environmental Technology\n      \n\n
 \n\n\n  \n\n    \n\n              \n\n\n      \n  \n\n    \n\n            
   \n\n\nTitle: Simmune - a biologist-friendly ‘computational microscope’ f
 or modeling cellular signaling processes \n\n\n\nSpeaker: Dr. Thorsten Pru
 stel (Laboratory of Immune System Biology\, NIH)\n\n\n\nAbstract: Rapid ad
 vances in experimental techniques\, such as high-resolution microscopy and
  proteomics\, permit to characterize spatiotemporal distributions of prote
 ins and other molecular components within cells in unprecedented detail. H
 owever\, to correlate this wealth of detailed quantitative data with cellu
 lar physiology requires the capability to create and explore complex model
 s that involve such large numbers of molecular components and interactions
  that would be prohibitively complicated to account for with traditional a
 pproaches to modeling the reaction dynamics. Another obstacle to the use o
 f mechanistic models of cellular behavior is the frequently incomplete exp
 erimental knowledge of model parameters such as reaction rates. \nIn my ta
 lk\, I will describe how the simulation software Simmune addresses these c
 hallenges and can be used to generate predictive spatially-resolved models
 . Simmune provides a visual language for molecular states and bimolecular 
 interactions that permits experimentalists without a computational backgro
 und to create realistic models of cellular signaling pathways. A computati
 onal representation of the reaction network of all possible multi-molecula
 r complexes is automatically generated and embedded into realistic models 
 of cellular morphology. Furthermore\, Simmune permits to perform broad ran
 ge parameter variations to identify the parameters that strongly influence
  the signaling system's behavior. I will illustrate Simmune's capabilities
  with examples of G-protein coupled receptor signaling and crosstalk in co
 mmon gamma chain signaling. \nThis work was supported by the Intramural Re
 search Program of the NIH\, NIAID.\n\n\n\nHost: Dr. Som Chatterjee
DTSTART;TZID=America/New_York:20200304T150000
DTEND;TZID=America/New_York:20200304T160000
LAST-MODIFIED:20200206T134038Z
SUMMARY:IMET Seminar: Dr. Thorsten Prustel (Laboratory of Immune System Bio
 logy\, NIH)
URL;TYPE=URI:https://www.umces.edu/events/imet-seminar-dr-thorsten-prustel-
 laboratory-of-immune-system-biology-nih
END:VEVENT
END:VCALENDAR
