aboutsummaryrefslogtreecommitdiff
path: root/R/mkinmod.R
blob: 31c778cb6409da33d3d75658bb40f85c311e074d (plain) (blame)
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
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
# $Id: mkinmod.R 71 2010-09-12 01:13:36Z jranke $

# Copyright (C) 2010 Johannes Ranke
# Contact: mkin-devel@lists.berlios.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
  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")
    new_parms <- vector()

    # 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="")

    # Turn on sink if not specified otherwise
    if(is.null(spec[[varname]]$sink)) spec[[varname]]$sink <- TRUE

    # Construct and add FOMC term and add FOMC parameters if needed
    if(spec[[varname]]$type == "FOMC") {
      if(match(varname, obs_vars) != 1) {
        stop("Type FOMC is only possible for the first compartment, which is assumed to be the source compartment")
      }
      if(spec[[varname]]$sink == FALSE) {
        stop("Turning off the sink for the FOMC model is not implemented")
      }
      # From p. 53 of the FOCUS kinetics report
      nonlinear_term <- paste("(alpha/beta) * ((time/beta) + 1)^-1 *", new_boxes[[1]])
      new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)
      new_parms <- c("alpha", "beta")
      ff <- vector()
    } 

    # Construct and add DFOP term and add DFOP parameters if needed
    if(spec[[varname]]$type == "DFOP") {
      if(match(varname, obs_vars) != 1) {
        stop("Type DFOP is only possible for the first compartment, which is assumed to be the source compartment")
      }
      if(spec[[varname]]$sink == FALSE) {
        stop("Turning off the sink for the DFOP model is not implemented")
      }
      # From p. 57 of the FOCUS kinetics report
      nonlinear_term <- paste("((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) *", new_boxes[[1]])
      new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)
      new_parms <- c("k1", "k2", "g")
      ff <- vector()
    } 

    # Construct and add HS term and add HS parameters if needed
    if(spec[[varname]]$type == "HS") {
      if(match(varname, obs_vars) != 1) {
        stop("Type HS is only possible for the first compartment, which is assumed to be the source compartment")
      }
      if(spec[[varname]]$sink == FALSE) {
        stop("Turning off the sink for the HS model is not implemented")
      }
      # From p. 55 of the FOCUS kinetics report
      nonlinear_term <- paste("ifelse(time <= tb, k1, k2)", "*", new_boxes[[1]])
      new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)
      new_parms <- c("k1", "k2", "tb")
      ff <- vector()
    } 

    # Construct terms for transfer to sink and add if appropriate

    if(spec[[varname]]$sink) {
      # Add first-order sink term to first (or only) box for SFO and SFORB
      if(spec[[varname]]$type %in% c("SFO", "SFORB")) {
        k_compound_sink <- paste("k", new_boxes[[1]], "sink", sep="_")
        sink_term <- paste("-", k_compound_sink, "*", new_boxes[[1]])
        new_diffs[[1]] <- paste(new_diffs[[1]], sink_term)
        new_parms <- k_compound_sink
      }
    }
   
    # Add reversible binding if appropriate
    if(spec[[varname]]$type == "SFORB") {
      k_free_bound <- paste("k", varname, "free", "bound", sep="_")      
      k_bound_free <- paste("k", varname, "bound", "free", sep="_")      
      reversible_binding_terms <- c(
        paste("-", k_free_bound, "*", new_boxes[[1]], "+", k_bound_free, "*", new_boxes[[2]]),
        paste("+", k_free_bound, "*", new_boxes[[1]], "-", k_bound_free, "*", new_boxes[[2]]))
      new_diffs <- paste(new_diffs, reversible_binding_terms)
      new_parms <- c(new_parms, k_free_bound, k_bound_free)
    } 

    # Add observed variable to model
    parms <- c(parms, new_parms)
    names(new_diffs) <- new_boxes
    diffs <- c(diffs, new_diffs)
  }
  # Transfer between compartments
  for (varname in obs_vars) {
    to <- spec[[varname]]$to
    if(!is.null(to)) {
      origin_box <- switch(spec[[varname]]$type,
        SFO = varname,
        FOMC = varname,
        DFOP = varname,
        HS = varname,
        SFORB = paste(varname, "free", sep="_"))
      fraction_left <- NULL
      for (target in to) {
        target_box <- switch(spec[[target]]$type,
          SFO = target,
          SFORB = paste(target, "free", sep="_"))
        if(spec[[varname]]$type %in% c("SFO", "SFORB")) {
          k_from_to <- paste("k", origin_box, target_box, sep="_")
          diffs[[origin_box]] <- paste(diffs[[origin_box]], "-", 
            k_from_to, "*", origin_box)
          diffs[[target_box]] <- paste(diffs[[target_box]], "+", 
            k_from_to, "*", origin_box)
          parms <- c(parms, k_from_to)
        }
        if(spec[[varname]]$type %in% c("FOMC", "DFOP", "HS")) {
          fraction_to_target = paste("f_to", target, sep="_")
          fraction_not_to_target = paste("(1 - ", fraction_to_target, ")", 
            sep="")
          if(is.null(fraction_left)) {
            fraction_really_to_target = fraction_to_target
            fraction_left = fraction_not_to_target
          } else {
            fraction_really_to_target = paste(fraction_left, " * ", 
              fraction_to_target, sep="")
            fraction_left = paste(fraction_left, " * ", 
              fraction_not_to_target, sep="")
          }
          ff[target_box] = fraction_really_to_target
          diffs[[target_box]] <- paste(diffs[[target_box]], "+", 
            ff[target_box], "*", nonlinear_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, c(boxes, "sink"), sep="_")
          k.candidate = sub("free.*bound", "free_bound", k.candidate)
          k.candidate = sub("bound.*free", "bound_free", k.candidate)
          k.effective = intersect(model$parms, k.candidate)
          m[from,to] = ifelse(length(k.effective) > 0,
              paste("-", k.effective, collapse = " "), "0")
        } else {
          k.candidate = paste("k", from, to, sep="_")
          k.candidate = sub("free.*bound", "free_bound", k.candidate)
          k.candidate = sub("bound.*free", "bound_free", k.candidate)
          k.effective = intersect(model$parms, k.candidate)
          m[to, from] = ifelse(length(k.effective) > 0,
              k.effective, "0")
        }
      }
    }
    model$coefmat <- m
  }

  if (exists("ff")) model$ff = ff
  class(model) <- "mkinmod"
  invisible(model)
}

Contact - Imprint