Parallel first order and Michaelis-Menten elimination

1 messages 1 people Latest: Apr 11, 2012
Eileen, I am not sure why, it is hard to say without seeing the data. Why do you fix some parameters? let them go free. Also, I would put ETA on V1 rather than on KM. Try to add all etas to get the good fit, and only then reduce the model. I see your units of CL as L/kg. It looks like you use mg/kg dose rather than the true dose. I would rather recommend to work in real (not WT-normalized) variables, and add WT to the parameters as needed (like allometric scaling). Also, TOL=5 is too low, try TOL=9. If you have problem posting to the group, ask ICON to check your address: you should post messages from the address registered in the list. If you changed the address, it needs to be reflected on the server. I copied the nmusers, this reply will appear on the list. Regards, Leonid -------------------------------------- Leonid Gibiansky, Ph.D. President, QuantPharm LLC web: www.quantpharm.com e-mail: LGibiansky at quantpharm.com tel: (301) 767 5566
Quoted reply history
On 4/11/2012 3:05 PM, Eileen Lawson wrote: > Leonid, > > I tried to post this to the NM Users list, but for some reason I cannot > post directly so: > > Good afternoon, > > I'm working on an antibody model with parallel linear and nonlinear > elimination from the central compartment. The model predicts only to 100 > mg/L, even though the DV reaches 150 mg/L. For all DV > 100 mg/L, the > model predicts 100 mg/L. Can you suggest where I might be mis-specifying > to get this result? > > Thank you, > Eileen > > $SUBROUTINE ADVAN13 TOL=5 > > $MODEL > NCOMP = 2 > COMP = (CENTRAL) ;1 > COMP = (PERIPH) ;2 > > $PK > CL = THETA(1) * EXP(ETA(1)) > V1 = THETA(2) > Q = THETA(3) > V2 = THETA(4) > VM = THETA(5) * EXP(ETA(2)) > KM = THETA(6) * EXP(ETA(3)) > > S1 = V1 > S2 = V2 > K10 = CL/V1 > K12 = Q/V1 > K21 = Q/V2 > > $ERROR > TY = A(1)/V1 > IPRED = TY > W = SQRT(THETA(7)**2/TY**2+THETA(8)**2) > Y = IPRED*EXP(W*ERR(1)) > > $DES > C1 = A(1)/S1 > DADT(1) = -K10*A(1)-A(1)*VM/ (KM+C1)-K12*A(1)+K21*A(2) > DADT(2) = K12*A(1)-K21*A(2) > > $THETA > (0, 0.003) ; CL, L/kg > 0.044 FIX ; V1, L/kg > (0, 0.00002) ; Q (RAPID), L/day/kg > 0.0177 FIX ; V2, L/kg > (0, 0.00004) ; VM (CLSAT), mg/day/kg > (0, 0.025) ; KM , mg/L/kg > (0, 0.19) ; proportional error > (0, 0.2) ; additive error > > $OMEGA > (0.09) ; 30% VARIANCE IN CL > 0.0225 FIX ; 15% VARIANCE IN VM > 0.0225 FIX ; 15% VARIANCE in KM