You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In principle, it should be possible to define a local function based on the
properties of the products of a rule. As an example, one might want to base the
rate of dissociation of a species on the sizes of the produced aggregates, with
large aggregates having a smaller rate of dissociation because they are less
likely to diffuse away before rebinding. The rule might look like:
L(s!+,s!1).R(s!1)->%x:L(s!+,s)+%y:R(s) km2*if(both_large(x,y)>0.5,p,1.0)
where
1. p<<1
2. both_large(x,y) = FunctionProduct("large(x)","large(y)")
3. large(x) = if(Rtot(x)>T,1.0,0.0)
4. T is a threshold (integer)
5. Molecules Rtot R()
Original issue reported on code.google.com by lh64@cornell.edu on 13 Mar 2015 at 3:14
The text was updated successfully, but these errors were encountered:
A more general idea would be to introduce the concept of catalysts (and local
functions on catalysts) to BioNetGen/NFSim, similar to Modifiers in SBML:
species that are neither reactants nor products but that have an effect in the
RateLaw.
As such local function on products would be an special case of this were a
product catalyzes its own reaction. We currently have no syntax to represent
this so this might require some more discussion though.
Original comment by jjta...@gmail.com on 13 Mar 2015 at 3:20
Note: One way to implement this is to use reject sampling, i.e., test the
product sizes after a rule has been fired and then accept the reaction with
probability 'p' if both products satisfy the condition.
Original comment by lh64@cornell.edu on 13 Mar 2015 at 3:25
Original issue reported on code.google.com by
lh64@cornell.edu
on 13 Mar 2015 at 3:14The text was updated successfully, but these errors were encountered: