I have the following equations and I am not 100% sure how to start my PK model in the matlab command window? Thanks in advance for any help or advice.

답변 (1개)

SaiDileep Kola
SaiDileep Kola 2021년 3월 25일

1 개 추천

you can start with the commands described here and example models executed.

댓글 수: 2

Skye Cameron
Skye Cameron 2021년 3월 25일
Hello, you may be able to help me - I have attached my code below, I am using a matrix in a separate file to use my different data for the code. I have attached firstly my code, then the matrix code in the separate file and then the error message. Are you able to help me solve the error please:)
clear all
close all
%Known parameters
alpha = -4.10e-6; %(1/s)
beta = 1.22e-5; %(1/s)
gamma = -8.1e-6; %(1/s)
k_AK = 5e-7; %(1/s)
%transvascular permeability values of cytotoxic drugs
p_DOX = 3e-6; %transvascular permeability in tumour for DOXIRUBICIN
p_PTX = 7e-9; %transvascular permeability in tumour for PACLITAXEL
p_TMZ = 8e-8; %%transvascular permeability in tumour for TEMOZOLOMIDE
p_BCNU = 7e-7; %transvascular permeability in tumour for CARMUSTINE
%elimination rate values for cytotoxic drugs
ke_DOX = 5.8e-4; %elimination rate for DOXIRUBICIN
ke_PTX = 6.8e-7; %elimination rate for PACLITAXEL
ke_TMZ = 1.06e-4; %elimination rate for TEMOZOLOMIDE
ke_BCNU = 1.1e-4; %elimination rate for CARMUSTINE
%elimination rate for Bevacizumab
ke_BEV = 1.2e-5; %elimination rate for BEVACIZUMAB
%half life
thalf_BEV = 57750; %(s)
thalf_DOX = 1194.8; %(s)
thalf_PTX = 1019917.6; %(s)
thalf_TMZ = 9000; %(s)
thalf_BCNU = 6300; %(s)
%plasma clearance
kclr_BEV = (log(2))/thalf_BEV;
kclr_DOX = (log(2))/thalf_DOX;
kclr_PTX = (log(2))/thalf_PTX;
kclr_TMZ = (log(2))/thalf_TMZ;
kclr_BCNU = (log(2))/thalf_BCNU;
%initial ratio of vessel surface area over tissue volume
sv_bt = 20000; %in brain tumour
sv_nt = 7000; %in normal tissue
%PK model
pkm = PKModelDesign;
pkc1 = addCompartment (pkm, 'Central');
pkc1.DosingType = 'Infusion';
pkc1.EliminationType = 'linear-clearance';
pkc1.HasResponseVariable = true;
pkc2 = addCompartment (pkm, 'Peripheral');
pkc1.DosingType = 'Infusion';
pkc2.EliminationType = 'linear-clearance';
pkc2.HasResponseVariable = true;
model = construct(pkm);
configset = getconfigset(model);
configset.CompileOptions.UnitConversion = true;
%Dose for model
dose = sbiodose('dose', 'TargetName', 'Drug_Central');
dose.StartTime = 0;
dose.Amount = 525;
dose.Rate = 175;
dose.AmountUnits = 'milligram';
dose.TimeUnits = 'hour';
dose.RateUnits = 'milligram/hour';
ResponseMap = {'Drug_Central = CentralConc', 'Drug_Peripheral = PeripheralConc'};
paramsToEstimate = {'log(Central)', 'log(Peripheral)', 'Q12', 'Clearance'};
estimatedParam = estimatedInfo(paramsToEstimate, 'InitialValue', [1 1 1 1])';
pooledFit = sbiofit(model,DrugData,responseMap, estimatedParam,dose, 'Pooled', true);
plot(pooledFit)
%-----------------------------------
%Drug, CentralV, PeripheralV, k12, ClearanceCentral
m = [1.90 4.19 1.2e-5 1.2003e-5; %BEV
1.90 4.19 5.8e-4 5.8014e-4; %DOX
1.90 4.19 1.1e-4 1.1002e-4; %BCNU
1.90 4.19 6.8e-7 6.7961e-7; %PTX
1.90 4.19 7.7e-5 7.7016e-5] %TMZ
>> ModelForDrugDelivery
Attempt to execute SCRIPT DrugData as a function:
/Users/skye/Desktop/MatLab/DrugData.m
Error in ModelForDrugDelivery (line 74)
pooledFit = sbiofit(model,DrugData,responseMap, estimatedParam,dose, 'Pooled', true);
Sheida V
Sheida V 2022년 7월 13일
편집: Sheida V 2022년 7월 13일
One thing I noticed is that you assigned pkc1.DosingType = 'Infusion' twice. I beleive the second time you meant to define pkc2.DosingType.

댓글을 달려면 로그인하십시오.

카테고리

도움말 센터File Exchange에서 Nonlinear Regression에 대해 자세히 알아보기

질문:

2021년 3월 18일

편집:

2022년 7월 13일

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by