1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
|
# $Id: mkinmod.R 71 2010-09-12 01:13:36Z jranke $
# Copyright (C) 2010-2012 Johannes Ranke
# Contact: jranke@uni-bremen.de
# This file is part of the R package mkin
# mkin is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
# You should have received a copy of the GNU General Public License along with
# this program. If not, see <http://www.gnu.org/licenses/>
mkinmod <- function(...)
{
spec <- list(...)
obs_vars <- names(spec)
# The returned model will be a list of character vectors, containing
# differential equations, parameter names and a mapping from model variables
# to observed variables. If possible, a matrix representation of the
# differential equations is included
parms <- vector()
diffs <- vector()
map <- list()
if(spec[[1]]$type %in% c("FOMC", "DFOP", "HS")) {
mat = FALSE
if(!is.null(spec[[1]]$to)) {
message <- paste(
"Only constant formation fractions over time are implemented.",
"Depending on the reason for the time dependence of degradation",
"this may be unrealistic",
sep="\n")
warning(message)
} else message <- "ok"
} else mat = TRUE
# Establish list of differential equations
# as well as map from observed compartments to differential equations
for (varname in obs_vars)
{
if(is.null(spec[[varname]]$type)) stop(
"Every argument to mkinmod must be a list containing a type component")
if(!spec[[varname]]$type %in% c("SFO", "FOMC", "DFOP", "HS", "SFORB")) stop(
"Available types are SFO, FOMC, DFOP, HS and SFORB only")
if(spec[[varname]]$type %in% c("FOMC", "DFOP", "HS") & match(varname, obs_vars) != 1) {
stop(paste("Types FOMC, DFOP and HS are only implemented for the first compartment,",
"which is assumed to be the source compartment"))
}
# New (sub)compartments (boxes) needed for the model type
new_boxes <- switch(spec[[varname]]$type,
SFO = varname,
FOMC = varname,
DFOP = varname,
HS = varname,
SFORB = paste(varname, c("free", "bound"), sep="_")
)
map[[varname]] <- new_boxes
names(map[[varname]]) <- rep(spec[[varname]]$type, length(new_boxes))
# Start a new differential equation for each new box
new_diffs <- paste("d_", new_boxes, " =", sep="")
names(new_diffs) <- new_boxes
diffs <- c(diffs, new_diffs)
}
# Create content of differential equations and build parameter list
for (varname in obs_vars)
{
# Add first-order term to first (or only) box for SFO and SFORB
box_1 = map[[varname]][[1]] # This is the only box unless type is SFORB
if(spec[[varname]]$type %in% c("SFO", "SFORB")) {
k_compound <- paste("k", box_1, sep="_")
origin_term <- paste(k_compound, "*", box_1)
parms <- c(parms, k_compound)
}
# Construct and add FOMC term and add FOMC parameters if needed
if(spec[[varname]]$type == "FOMC") {
# From p. 53 of the FOCUS kinetics report
origin_term <- paste("(alpha/beta) * ((time/beta) + 1)^-1 *", box_1)
parms <- c(parms, "alpha", "beta")
}
# Construct and add DFOP term and add DFOP parameters if needed
if(spec[[varname]]$type == "DFOP") {
# From p. 57 of the FOCUS kinetics report
origin_term <- paste("((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) *", box_1)
parms <- c(parms, "k1", "k2", "g")
}
# Construct and add HS term and add HS parameters if needed
if(spec[[varname]]$type == "HS") {
# From p. 55 of the FOCUS kinetics report
origin_term <- paste("ifelse(time <= tb, k1, k2)", "*", box_1)
parms <- c(parms, "k1", "k2", "tb")
}
# Add origin decline term to box 1 (usually the only box, unless type is SFORB)
diffs[[box_1]] <- paste(diffs[[box_1]], "-", origin_term)
# Add reversible binding for SFORB models
if(spec[[varname]]$type == "SFORB") {
box_2 = map[[varname]][[2]]
k_free_bound <- paste("k", varname, "free", "bound", sep="_")
k_bound_free <- paste("k", varname, "bound", "free", sep="_")
reversible_binding_term_1 <- paste("-", k_free_bound, "*", box_1, "+",
k_bound_free, "*", box_2)
diffs[[box_1]] <- paste(diffs[[box_1]], reversible_binding_term_1)
reversible_binding_term_2 <- paste("+", k_free_bound, "*", box_1, "-",
k_bound_free, "*", box_2)
diffs[[box_2]] <- paste(diffs[[box_2]], reversible_binding_term_2)
parms <- c(parms, k_free_bound, k_bound_free)
}
# Transfer between compartments
to <- spec[[varname]]$to
if(!is.null(to)) {
# Name of box from which transfer takes place
origin_box <- box_1
# Add transfer terms to listed compartments
for (target in to) {
target_box <- switch(spec[[target]]$type,
SFO = target,
SFORB = paste(target, "free", sep="_"))
fraction_to_target = paste("f", origin_box, "to", target, sep="_")
diffs[[target_box]] <- paste(diffs[[target_box]], "+",
fraction_to_target, "*", origin_term)
parms <- c(parms, fraction_to_target)
}
}
}
model <- list(diffs = diffs, parms = parms, map = map)
# Create coefficient matrix if appropriate
if (mat) {
boxes <- names(diffs)
n <- length(boxes)
m <- matrix(nrow=n, ncol=n, dimnames=list(boxes, boxes))
for (from in boxes) {
for (to in boxes) {
if (from == to) {
k.candidate = paste("k", from, sep="_")
m[from,to] = ifelse(k.candidate %in% model$parms,
paste("-", k.candidate), "0")
} else {
f.candidate = paste("f", from, "to", to, sep="_")
k.candidate = paste("k", from, to, sep="_")
k.candidate = sub("free.*bound", "free_bound", k.candidate)
k.candidate = sub("bound.*free", "bound_free", k.candidate)
m[to, from] = ifelse(f.candidate %in% model$parms,
paste(f.candidate, " * k_", from, sep=""),
ifelse(k.candidate %in% model$parms, k.candidate, "0"))
}
}
}
model$coefmat <- m
}
class(model) <- "mkinmod"
return(model)
}
|