1 \documentclass[english,12pt]{article}
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55 \author{Don Armstrong}
56 \title{OOL Kinetic Formalisms}
62 <<results=hide,echo=FALSE>>=
66 to.kcal <- function(k,temp=300) {
68 return(-gasconst*temp*log(k)/1000)
72 \section{State Equation}
73 % double check this with the bits in the paper
75 Given a base forward kinetic parameter for the $i$th specie $k_{fi}$
76 (which is dependent on lipid type, that is PC, PE, PS, etc.), an
77 adjustment parameter $k_{fi\mathrm{adj}}$ based on the vesicle and the
78 specific specie (length, unsaturation, etc.) (see~\fref{eq:kf_adj}),
79 the molar concentration of monomer of the $i$th specie
80 $\left[C_{i_\mathrm{monomer}}\right]$, the surface area of the vesicle
81 $S_\mathrm{ves}$, the base backwards kinetic parameter for the $i$th
82 specie $k_{bi}$ which is also dependent on lipid type, its adjustment
83 parameter $k_{bi\mathrm{adj}}$ (see~\fref{eq:kb_adj}), and the molar
84 concentration of the $i$th specie in the vesicle $C_{i_\mathrm{ves}}$,
85 the change in concentration of the $i$th specie in the vesicle per
86 change in time $\frac{d C_{i_\mathrm{ves}}}{dt}$ can be calculated:
89 \frac{d C_{i_\mathrm{ves}}}{dt} = k_{fi}k_{fi\mathrm{adj}}\left[C_{i_\mathrm{monomer}}\right]S_\mathrm{ves} -
90 k_{bi}k_{bi\mathrm{adj}}C_{i_\mathrm{ves}}
94 For $k_{fi}k_{fi\mathrm{adj}}\left[C_{i_\mathrm{monomer}}\right]$,
95 $k_{fi}$ has units of $\frac{\mathrm{m}}{\mathrm{s}}$,
96 $k_{fi\mathrm{adj}}$ and $k_{bi\mathrm{adj}}$ are unitless,
97 concentration is in units of $\frac{\mathrm{n}}{\mathrm{L}}$, surface
98 area is in units of $\mathrm{m}^2$, $k_{bi}$ has units of
99 $\frac{1}{\mathrm{s}}$ and $C_{i_\mathrm{ves}}$ has units of
100 $\mathrm{n}$, Thus, we have
103 \frac{\mathrm{n}}{\mathrm{s}} = \frac{\mathrm{m}}{\mathrm{s}} \frac{\mathrm{n}}{\mathrm{L}} \mathrm{m}^2 \frac{1000\mathrm{L}}{\mathrm{m}^3} -
104 \frac{1}{\mathrm{s}} \mathrm{n}
106 \frac{\mathrm{m^3}}{\mathrm{s}} \frac{\mathrm{n}}{\mathrm{L}} \frac{1000\mathrm{L}}{\mathrm{m}^3} - \frac{\mathrm{n}}{\mathrm{s}}=
107 \frac{\mathrm{n}}{\mathrm{s}} = 1000 \frac{\mathrm{n}}{\mathrm{s}} - \frac{\mathrm{n}}{\mathrm{s}}
108 \label{eq:state_units}
111 The 1000 isn't in \fref{eq:state} above, because it is unit-dependent.
113 \subsection{Forward adjustments ($k_{fi\mathrm{adj}}$)}
115 The forward rate constant adjustment, $k_{fi\mathrm{adj}}$ takes into
116 account unsaturation ($un_f$), charge ($ch_f$), curvature ($cu_f$),
117 length ($l_f$), and complex formation ($CF1_f$), each of which are
118 modified depending on the specific specie and the vesicle into which
119 the specie is entering.
122 k_{fi\mathrm{adj}} = un_f \cdot ch_f \cdot cu_f \cdot l_f \cdot CF1_f
127 \subsubsection{Unsaturation Forward}
129 In order for a lipid to be inserted into a membrane, a void has to be
130 formed for it to fill. Voids can be generated by the combination of
131 unsaturated and saturated lipids forming herterogeneous domains. Void
132 formation is increased when the unsaturation of lipids in the vesicle
133 is widely distributed; in other words, the insertion of lipids into
134 the membrane is greater when the standard deviation of the
135 unsaturation is larger. Assuming that an increase in width of the
136 distribution linearly decreases the free energy of activation, the
137 $un_f$ parameter must follow
138 $x^{\mathrm{stdev}\left(un_\mathrm{ves}\right)}$ where $x > 1$, so a
139 convenient starting base for $x$ is 2:
142 un_f = 2^{\mathrm{stdev}\left(un_\mathrm{ves}\right)}
143 \label{eq:unsaturation_forward}
146 \setkeys{Gin}{width=3.2in}
147 <<fig=TRUE,echo=FALSE,results=hide,width=5,height=5>>=
148 curve(2^x,from=0,to=sd(c(0,4)),
149 main="Unsaturation Forward",
150 xlab="Standard Deviation of Unsaturation of Vesicle",
151 ylab="Unsaturation Forward Adjustment")
153 <<fig=TRUE,echo=FALSE,results=hide,width=5,height=5>>=
154 curve(to.kcal(2^x),from=0,to=sd(c(0,4)),
155 main="Unsaturation forward",
156 xlab="Standard Deviation of Unsaturation of Vesicle",
157 ylab="Unsaturation Forward (kcal/mol)")
162 \subsubsection{Charge Forward}
164 A charged lipid such as PS approaching a vesicle with an average
165 charge of the same sign will experience repulsion, whereas those with
166 different signs will experience attraction, the degree of which is
167 dependent upon the charge of the monomer and the average charge of the
168 vesicle. If either the vesicle or the monomer has no charge, there
169 should be no effect of charge upon the rate. This leads us to the
170 following equation, $x^{-\left<ch_v\right> ch_m}$, where
171 $\left<ch_v\right>$ is the average charge of the vesicle, and $ch_m$
172 is the charge of the monomer. If either $\left<ch_v\right>$ or $ch_m$
173 is 0, the adjustment parameter is 1 (no change), whereas it decreases
174 if both are positive or negative, as the product of two real numbers
175 with the same sign is always positive. A convenient base for $x$ is
176 60, resulting in the following equation:
180 ch_f = 60^{-\left<{ch}_v\right> {ch}_m}
181 \label{eq:charge_forward}
184 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
185 x <- seq(-1,0,length.out=20)
186 y <- seq(-1,0,length.out=20)
187 grid <- expand.grid(x=x,y=y)
188 grid$z <- as.vector(60^(-outer(x,y)))
189 print(wireframe(z~x*y,grid,cuts=50,
191 scales=list(arrows=FALSE),
192 main="Charge Forward",
193 xlab=list("Average Vesicle Charge",rot=30),
194 ylab=list("Component Charge",rot=-35),
195 zlab=list("Charge Forward",rot=93)))
198 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
199 x <- seq(-1,0,length.out=20)
200 y <- seq(-1,0,length.out=20)
201 grid <- expand.grid(x=x,y=y)
202 grid$z <- as.vector(to.kcal(60^(-outer(x,y))))
203 print(wireframe(z~x*y,grid,cuts=50,
205 scales=list(arrows=FALSE),
206 main="Charge Forward (kcal/mol)",
207 xlab=list("Average Vesicle Charge",rot=30),
208 ylab=list("Component Charge",rot=-35),
209 zlab=list("Charge Forward (kcal/mol)",rot=93)))
215 \subsubsection{Curvature Forward}
217 Curvature is a measure of the intrinsic propensity of specific lipids
218 to form micelles (positive curvature), inverted micelles (negative
219 curvature), or planar sheets (zero curvature). In this formalism,
220 curvature is measured as the ratio of the size of the head to that of
221 the base, so negative curvature is bounded by $(0,1)$, zero curvature
222 is 1, and positive curvature is bounded by $(1,\infty)$. The curvature
223 can be transformed into the typical postive/negative mapping using
224 $\log$, which has the additional property of making the range of
225 positive and negative curvature equal, and distributed about 0.
227 As in the case of unsaturation, void formation is increased by the
228 presence of lipids with mismatched curvature. Thus, a larger
229 distribution of curvature in the vesicle increases the rate of lipid
230 insertion into the vesicle. However, a species with curvature $e^-1$
231 will cancel out a species with curvature $e$, so we have to log
232 transform (turning these into -1 and 1), then take the absolute value
233 (1 and 1), and finally measure the width of the distribution. Thus, by
234 using the log transform to make the range of the lipid curvature equal
235 between positive and negative, taking the absolute value to cancel out
236 exactly mismatched curvatures, we come to an equation with the shape
237 $x^{\mathrm{stdev}\left|\log cu_\mathrm{vesicle}\right|}$, and a
238 convenient base for $x$ is 10, yielding:
240 {\color{red} Shouldn't a vesicle of -1,1,0 have the same activation
241 energy as a vesicle of 0,0,0? It doesn't currently.}
245 cu_f = 10^{\mathrm{stdev}\left|\log cu_\mathrm{vesicle}\right|}
246 \label{eq:curvature_forward}
250 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=5>>=
251 curve(10^x,from=0,to=max(c(sd(abs(log(c(0.8,1.33)))),
252 sd(abs(log(c(1,1.33)))),
253 sd(abs(log(c(0.8,1)))))),
254 main="Curvature forward",
255 xlab="Standard Deviation of Absolute value of the Log of the Curvature of Vesicle",
256 ylab="Curvature Forward Adjustment")
258 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=5>>=
259 curve(to.kcal(10^x),from=0,to=max(c(sd(abs(log(c(0.8,1.33)))),
260 sd(abs(log(c(1,1.33)))),
261 sd(abs(log(c(0.8,1)))))),
262 main="Curvature forward",
263 xlab="Standard Deviation of Absolute value of the Log of the Curvature of Vesicle",
264 ylab="Curvature Forward Adjustment (kcal/mol)")
269 \subsubsection{Length Forward}
271 As in the case of unsaturation, void formation is easier when vesicles
272 are made up of components of widely different lengths. Thus, when the
273 width of the distribution of lengths is larger, the forward rate
274 should be greater as well, leading us to an equation of the form
275 $x^{\mathrm{stdev} l_\mathrm{ves}}$, where $\mathrm{stdev}
276 l_\mathrm{ves}$ is the standard deviation of the length of the
277 components of the vesicle, which has a maximum possible value of 8 and
278 a minimum of 0 in this set of experiments. A convenient base for $x$
282 l_f = 2^{\mathrm{stdev} l_\mathrm{ves}}
283 \label{eq:length_forward}
286 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=5>>=
287 curve(2^x,from=0,to=sd(c(12,24)),
288 main="Length forward",
289 xlab="Standard Deviation of Length of Vesicle",
290 ylab="Length Forward Adjustment")
292 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=5>>=
293 curve(to.kcal(2^x),from=0,to=sd(c(12,24)),
294 main="Length forward",
295 xlab="Standard Deviation of Length of Vesicle",
296 ylab="Length Forward Adjustment (kcal/mol)")
300 \subsubsection{Complex Formation}
301 There is no contribution of complex formation to the forward reaction
302 rate in the current formalism.
306 \label{eq:complex_formation_forward}
309 \subsection{Backward adjustments ($k_{bi\mathrm{adj}}$)}
312 k_{bi\mathrm{adj}} = un_b \cdot ch_b \cdot cu_b \cdot l_b \cdot CF1_b
317 \subsubsection{Unsaturation Backward}
319 un_b = 10^{\left|3.5^{-\left<un_\mathrm{ves}\right>}-3.5^{-un_\mathrm{monomer}}\right|}
320 \label{eq:unsaturation_backward}
323 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
324 grid <- expand.grid(x=seq(0,4,length.out=20),
325 y=seq(0,4,length.out=20))
326 grid$z <- 10^(abs(3.5^-grid$x-3.5^-grid$y))
327 print(wireframe(z~x*y,grid,cuts=50,
329 scales=list(arrows=FALSE),
330 xlab=list("Average Vesicle Unsaturation",rot=30),
331 ylab=list("Monomer Unsaturation",rot=-35),
332 zlab=list("Unsaturation Backward",rot=93)))
335 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
336 grid <- expand.grid(x=seq(0,4,length.out=20),
337 y=seq(0,4,length.out=20))
338 grid$z <- to.kcal(10^(abs(3.5^-grid$x-3.5^-grid$y)))
339 print(wireframe(z~x*y,grid,cuts=50,
341 scales=list(arrows=FALSE),
342 xlab=list("Average Vesicle Unsaturation",rot=30),
343 ylab=list("Monomer Unsaturation",rot=-35),
344 zlab=list("Unsaturation Backward (kcal/mol)",rot=93)))
350 \subsubsection{Charge Backwards}
352 ch_b = 20^{\left<{ch}_v\right> {ch}_m}
353 \label{eq:charge_backwards}
356 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
357 x <- seq(-1,0,length.out=20)
358 y <- seq(-1,0,length.out=20)
359 grid <- expand.grid(x=x,y=y)
360 grid$z <- as.vector(20^(outer(x,y)))
361 print(wireframe(z~x*y,grid,cuts=50,
363 scales=list(arrows=FALSE),
364 xlab=list("Average Vesicle Charge",rot=30),
365 ylab=list("Component Charge",rot=-35),
366 zlab=list("Charge Backwards",rot=93)))
369 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
370 x <- seq(-1,0,length.out=20)
371 y <- seq(-1,0,length.out=20)
372 grid <- expand.grid(x=x,y=y)
373 grid$z <- to.kcal(as.vector(20^(outer(x,y))))
374 print(wireframe(z~x*y,grid,cuts=50,
376 scales=list(arrows=FALSE),
377 xlab=list("Average Vesicle Charge",rot=30),
378 ylab=list("Component Charge",rot=-35),
379 zlab=list("Charge Backwards (kcal/mol)",rot=93)))
384 \subsubsection{Curvature Backwards}
386 cu_f = 7^{1-\left(20\left(\log_{e} cu_\mathrm{vesicle}-\log_{e} cu_\mathrm{monomer}\right)^2+1\right)^{-1}}
387 \label{eq:curvature_backwards}
390 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
391 grid <- expand.grid(x=seq(0.8,1.33,length.out=20),
392 y=seq(0.8,1.33,length.out=20))
393 grid$z <- 7^(1-1/(20*(log(grid$x)-log(grid$y))^2+1))
394 print(wireframe(z~x*y,grid,cuts=50,
396 scales=list(arrows=FALSE),
397 xlab=list("Vesicle Curvature",rot=30),
398 ylab=list("Monomer Curvature",rot=-35),
399 zlab=list("Curvature Backward",rot=93)))
402 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
403 grid <- expand.grid(x=seq(0.8,1.33,length.out=20),
404 y=seq(0.8,1.33,length.out=20))
405 grid$z <- to.kcal(7^(1-1/(20*(log(grid$x)-log(grid$y))^2+1)))
406 print(wireframe(z~x*y,grid,cuts=50,
408 scales=list(arrows=FALSE),
409 xlab=list("Vesicle Curvature",rot=30),
410 ylab=list("Monomer Curvature",rot=-35),
411 zlab=list("Curvature Backward (kcal/mol)",rot=93)))
417 \subsubsection{Length Backwards}
419 l_b = 3.2^{\left|l_\mathrm{ves}-l_\mathrm{monomer}\right|}
420 \label{eq:length_backward}
423 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
424 grid <- expand.grid(x=seq(12,24,length.out=20),
425 y=seq(12,24,length.out=20))
426 grid$z <- 3.2^(abs(grid$x-grid$y))
427 print(wireframe(z~x*y,grid,cuts=50,
429 scales=list(arrows=FALSE),
430 xlab=list("Average Vesicle Length",rot=30),
431 ylab=list("Monomer Length",rot=-35),
432 zlab=list("Length Backward",rot=93)))
435 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
436 grid <- expand.grid(x=seq(12,24,length.out=20),
437 y=seq(12,24,length.out=20))
438 grid$z <- to.kcal(3.2^(abs(grid$x-grid$y)))
439 print(wireframe(z~x*y,grid,cuts=50,
441 scales=list(arrows=FALSE),
442 xlab=list("Average Vesicle Length",rot=30),
443 ylab=list("Monomer Length",rot=-35),
444 zlab=list("Length Backward (kcal/mol)",rot=93)))
450 \subsubsection{Complex Formation Backward}
452 CF1_b=1.5^{CF1_\mathrm{ves} CF1_\mathrm{monomer}-\left|CF1_\mathrm{ves} CF1_\mathrm{monomer}\right|}
453 \label{eq:complex_formation_backward}
456 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
457 grid <- expand.grid(x=seq(-1,3,length.out=20),
458 y=seq(-1,3,length.out=20))
459 grid$z <- 3.2^(grid$x*grid$y-abs(grid$x*grid$y))
460 print(wireframe(z~x*y,grid,cuts=50,
462 scales=list(arrows=FALSE),
463 xlab=list("Vesicle Complex Formation",rot=30),
464 ylab=list("Monomer Complex Formation",rot=-35),
465 zlab=list("Complex Formation Backward",rot=93)))
468 <<fig=TRUE,echo=FALSE,results=hide,width=7,height=7>>=
469 grid <- expand.grid(x=seq(-1,3,length.out=20),
470 y=seq(-1,3,length.out=20))
471 grid$z <- to.kcal(3.2^(grid$x*grid$y-abs(grid$x*grid$y)))
472 print(wireframe(z~x*y,grid,cuts=50,
474 scales=list(arrows=FALSE),
475 xlab=list("Vesicle Complex Formation",rot=30),
476 ylab=list("Monomer Complex Formation",rot=-35),
477 zlab=list("Complex Formation Backward (kcal/mol)",rot=93)))
485 % \bibliographystyle{plainnat}
486 % \bibliography{references.bib}