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SUMMARY:Sara Riva (Université de Lille)
DTSTART:20260129T190000Z
DTEND:20260129T200000Z
DTSTAMP:20260423T021358Z
UID:OLS/198
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OLS/198/">Co
 ntrol and synthesis of minimal trap spaces in Boolean Network</a>\nby Sara
  Riva (Université de Lille) as part of Online logic seminar\n\n\nAbstract
 \nSince recent years\, we observe a surge of successful applications of Bo
 olean networks (BNs) in biology and medicine for the modeling and predicti
 on of cellular dynamics in the case of cancer and cellular reprogramming. 
 Such applications face two main challenges: being able to design a qualita
 tive Boolean model which is faithful to the behavior of the biological sys
 tem and being able to compute predictions to control its (long-term) dynam
 ics. From a computational point of view\, the latter problem mostly depend
 s on the complexity of the dynamical property to enforce\, while the forme
 r additionally suffers from the combinatorics of candidate models.\n\nMini
 mal trap spaces (MTSs) capture subspaces in which the Boolean dynamics is 
 trapped\, whatever the update mode. They correspond to the attractors of t
 he most permissive mode. Due to their versatility\, the computation of MTS
 s has recently gained traction\, essentially by focusing on their enumerat
 ion. We address the logical reasoning on universal properties of MTSs in t
 he scope of two problems: the reprogramming of Boolean networks for identi
 fying the permanent freeze of Boolean variables that enforce a given prope
 rty on all the MTSs\, and the synthesis of Boolean networks from universal
  properties on their MTSs. Both problems reduce to solving the satisfiabil
 ity of quantified propositional logic formula with 3 levels of quantifiers
 .\n
LOCATION:https://researchseminars.org/talk/OLS/198/
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