Location: BG_composite_M2 @ 12fbc060fea3 / GiProtein_noR / MATLAB / kinetic_parameters.m

Author:

Shelley Fong <s.fong@auckland.ac.nz>

Date:

2021-10-20 15:38:20+13:00

Desc:

Adding python solvers

Permanent Source URI:

https://models.physiomeproject.org/workspace/700/rawfile/12fbc060fea3d9f9017ddf9c23f4e47a24d8a676/GiProtein_noR/MATLAB/kinetic_parameters.m

% Gi protein module following Saucerman and Iancu: act1 and act2 with LR
% and LRG as substrates (G is already bound, so there is only one substrate
% to each act reaction)

% Gi is associated with muscarinic 2 (M2) receptors in cardiac myocytes

% Return kinetic parameters, constraints, and vector of volumes in each
% compartment (pL) (1 if gating variable, or in element corresponding to
% kappa)

function [k_kinetic, N_cT, K_C, W] = kinetic_parameters(M, include_type2_reactions, dims, V)
    % Set the kinetic rate constants.
    % original model had reactions that omitted enzymes as substrates e.g. BARK
    % convert unit from 1/s to 1/uM.s by dividing by conc of enzyme
    % all reactions were irreversible, made reversible by letting kr ~= 0

    num_cols = dims.num_cols;
    num_rows = dims.num_rows;

    bigNum = 1e3;
    fastKineticConstant = bigNum;
    smallReverse = fastKineticConstant/(bigNum^2);
    
    kAct1p = 2.5;                   % 1/s
    kAct1m = smallReverse;          % 1/s            
    kAct2p = 0.05;                  % 1/s
    kAct2m = smallReverse;          % 1/s            
    kHydp = 0.8;                    % 1/s      
    kHydm = smallReverse;           % 1/s
    kReassocp = 1.21e3;             % 1/uM.s
    kReassocm = kReassocp/bigNum;   % 1/s
    
    % No closed loop, so no detailed balance
    
    k_kinetic = [
        kAct1p, kAct2p, kHydp, kReassocp...
        kAct1m, kAct2m, kHydm, kReassocm
        ]';

    % CONSTRAINTS
    N_cT = zeros(1,size(M,2)); 
    
    % LR.G = aGTP.betaGamma
    if false                                                          
        N_cT(2,num_cols + 3) = 1;
        N_cT(2,num_cols + 4) = 1;
        N_cT(2,num_cols + 5) = -1;
        N_cT(2,num_cols + 6) = -1;
    end
    % [a-GTP] + [a-GDP] = [beta.gamma]                              **SMALL_ERROR**
    if true 
        N_cT(1,num_cols + 7) = 1;   % beta_gamma
        N_cT(1,num_cols + 6) = -1;  % a_GTP
        N_cT(1,num_cols + 8) = -1;  % a_GDP
    end
    
    K_C = [1];

    % volume vector
    W = [ones(num_cols,1); V.V_myo*ones(num_rows,1)];

return