v6: chemical kinetics & transition states
DESCRIPTION
V6: Chemical Kinetics & Transition States. see chapter 19 in book of K. Dill Aim : describe kinetics of processes on energy landscapes (e.g. chemical reactions). temperature effect detailed balance mass action law Arrhenius plots - PowerPoint PPT PresentationTRANSCRIPT
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 1
V6: Chemical Kinetics & Transition States
see chapter 19 in book of K. Dill
Aim: describe kinetics of processes on energy landscapes
(e.g. chemical reactions).
- temperature effect - detailed balance- mass action law- Arrhenius plots- concept of transition state/activation barrier transition state theory- -value analysis revisited- effect of catalysts
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 2
Reaction rates are proportional to concentrations
B
k
k
A
r
f
Lets consider a simple kinetic process, the interconversion between 2 states,
kf and kr : forward and reverse rate coefficients.
How do the amounts of A and B change with time t, given the initial amounts at
time t = 0 ? tBktAkdt
tBd
tBktAkdt
tAd
rf
rf
The two equations are coupled.
One can solve them by matrix algebra …
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 3
Excursion: coupled differential equations
yxy
yxx
2
4
y
x
y
x
12
14
We can use the method of diagonalisation to solve coupled ordinary differential equations.
For example, let x(t) and y(t) be differentiable functions and x' and y' their derivatives.
The differential equations are relatively difficult to solve:
By diagonalizing the square matrix, we get
but u' = ku for a constant k is easy to solve.
It has the solution u = Aekx where A is a constant
Remembering this fact, we translate the ODEs into matrix form
y
x
y
x1
21
11
20
03
21
11
www.algebra.com
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 4
Excursion: coupled differential equations
y
x
y
x1
21
11
20
03
21
11
y
x
v
u1
21
11
y
x
v
u1
21
11
By diagonalizing the square matrix, we get
We then put It follows that
Thus
v
u
v
u
20
03
The solutions of this system are found easily: t
t
Dev
Ceu2
3
with some constants C and D.
y
x
v
u1
21
11
y
x
v
u
21
11With
tt
tt
DeCey
DeCex23
23
2
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 5
Reaction rates are proportional to concentrations
tAkdt
tAdf
tkA
tAdtk
A
dAf
t
f 0ln
0
tk feAtA 0
With this technique, we could solve our system of coupled diff. equations.
If kr << kf, the first equation simplies to
If [A(t)] + [B(t)] = constant, then
tk feAtB 0constant
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 6
[A]eq and [B]eq : equilibrium concentrations.
To see that this is a condition of equilibrium follows from inserting
into
resulting in
At equilibrium, rates obey detailed balance
eqreqf BkAk
eqreqf BkAk
tBktAkdt
tBd
tBktAkdt
tAd
rf
rf
The principle of detailed balance says that the forward and reverse rates must be
identical for an elementary reaction at equilibrium:
Taken from Dill book
0,0
dt
tBd
dt
tAd
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 7
At equilibrium, rates obey detailed balance
r
f
eq
eq
k
k
A
BK
The detailed balance condition relates the rate coefficients kf and kr to the
equilibrium constant K:
Taken from Dill book
For more complex systems, the principle of detailed balance gives more information beyond
the statement of equilibrium. For a system having more than one elementary reaction, the
forward and reverse rates must be equal for every elementary reaction.
For this system:
AB
BA
eq
eq
BI
IB
eq
eq
IA
AI
eq
eq
k
k
B
A
k
k
I
B
k
k
A
I ,,
Let‘s consider a 3-state mechanism with
kIA 0, kBI 0, kAB 0.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 8
These are two independent equations for 3
unknown concentrations
the system has an infinite number of
solutions.
In mechanism (b), all rates of the
Denominator in
are zero mechanism (b) is impossible.
At equilibrium, rates obey detailed balance
BAIB
IBAI
kBkI
kIkA
This results in the mechanism shown right.
The only conditions for equilibrium are:
BIABIA
IBBAAI
IBBAAI
BIABIA
BI
IB
eqAI
IA
BA
ABeq
BA
ABeqeqeq
IA
AIeq
AB
BA
eq
eq
BI
IB
eq
eq
IA
AI
eq
eq
kkk
kkk
kkk
kkk
k
k
Ak
k
k
kA
k
kABA
k
kI
k
k
B
A
k
k
I
B
k
k
A
I
1or,1
or)2(
)3(,)1(
,,
Taken from Dill book
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 9
At equilibrium, rates obey detailed balance
The principle of detailed balance says that forward and backward reactions at
equilibrium cannot have different intermediate states.
That is, if the forward reaction is A I B,
the backward reaction cannot be B A.
The principle of detailed balance can be derived from microscopic statistical
mechanics.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 10
The mass action laws describe mechanisms in chemical kinetics
Suppose the following reaction leading from reactants A, B, and C to product P:
PcCbBaA In general, the initial reaction rate depends on
- the concentrations of the reactants
- the temperature and pressure
- and on the coefficients a, b, and c.
Kinetic law of mass action (CM Guldberg & P Waage, 1864):
„the reactants should depend on on stoichiometry in the
same way that equilibrium constants do“.
cbaf CBAk
dt
Pd
Although mass action is in agreement with many experiments,
there are exceptions. These require a quantum mechanical
description.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 11
Reaction rates depend on temperature
Consider a binary reaction in the gas phase:
PBAk2
Suppose that
By definition, the rate coefficient k2 is independent of [A] and [B].
But k2 can depend strongly on temperature.
BAkdt
Pd2
The observed dependence of the reaction rate on the temperature is much
greater than one would expect from just the enhanced thermal motions of the
molecules.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 12
Arrhenius equation
1889, S. Arrhenius started from the
van‘t Hoff equation for the strong
dependence of the equilibrium constant
K on temperature:
2
ln
kT
h
dT
Kd
and proposed that kf and kr also have van‘t Hoff form
22
lnand
ln
kT
E
dT
kd
kT
E
dT
kdaraf
where Ea and E‘a have units of energy that are chosen to fit exp. data.
Ea and E‘a are called activation energies.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 13
Activation energy diagram
According to Arrhenius, it is not the average energy of the reactants that
determines the reaction rates but only the high energies of the ‚activated‘
molecules.
Taken from Dill book
There are two plateaus, one for the reactants and one for the products.
In between lies an energy maximum (also: transition state or activation barrier)
which is the energy that activated molecules must have to proceed from
reactants to products.
Measuring kf as a function of temperature, and using eq. (1) gives Ea.
Measuring the reverse rate gives E‘a.
Measuring the equilibrium constant versus temperature gives h°.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 14
Population at different temperatures
From
Taken from Dill book
r
f
k
kK it follows
aa EEh '
The figure shows how activation is interpreted according to the Boltzmann
distribution law: a small increase in temperature can lead to a relatively
large increase in the population of high-energy molecules.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 15
Arrhenius plots
Integrating over
temperature T
Taken from Dill book
2
ln
kT
E
dT
kdaf
gives:
BkTE
f
BkTE
f
BkTE
f
af
eAAek
eek
ek
BkT
Ek
a
a
a
with
ln
H2 + I2 2HI (open circles)
2HI H2 + I2 (full circles)
Diffusion of carbon in iron
The figures show examples of
chemical systems showing
Arrhenius behavior.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 16
Activated processes
Arrhenius kinetics applies to many physical and chemical processes.
When should one treat a process as activated?
If a small increase in temperature gives a large increase in rate,
a good first step is to try the Arrhenius model.
E.g. breaking of bonds.
Counter example: highly reactive radicals. CNHHHCNH 223
These can be much faster than typical activated processes and they slow
down with increasing temperature.
We now describe a more microscopic approach to reaction rates,
called transition state theory.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 17
The energy landscape of a reactionAn energy landscape defines how the
energy of a reacting system depends
on its degrees of freedom.
E.g. A + BC AB + C
Each reaction trajectory would involve
some excursions up the walls of the
valleys.
When averaged over multiple trajectories,
the reaction process can be described as
following the lowest energy route, along
the entrance valley over the saddle point
and out of the exit valley, because the
Boltzmann populations are highest along
that average route. Taken from Dill book
Energy surface for
D + H2 HD + H
The transition (saddle) point isdenoted by the symbol ‡.It is unstable: a ball placed on thesaddle point will roll downhillalong the reaction coordinate.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 18
Calculating rate coefficients from TST
Let us consider the reaction
by transition state theory:
Divide the reaction process into two stages:
(1) the equilibrium between the reactants ant the transition state (AB)‡ with
‚equilibrium constant‘ K‡
(2) a direct step downhill from the TS to the product with rate coefficient k‡:
PBAk2
PABBA kK ‡‡ ‡
Key assumption of TST: step (1) can be expressed as an equilibrium between
the reactants A and B and the transition state (AB)‡ , with
BAB
KA
‡‡
even though (AB)‡ is not a true equilibrium state.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 19
Calculating rate coefficients from TST
The overall rate is expressed as the number of molecules in the TS, [(AB)‡],
multiplied by the rate coefficient k‡ for the second product-forming step
BAKkABkdt
Pd ‡‡‡‡
Because the quantitiy K‡ is regarded as an equilibrium constant, it can be
expressed in terms of the molar partition functions:
kTD
BA
AB eqq
qK
‡‡
‡
where D‡ is the dissociation energy of the TS minus the dissociation energy of
the reactants.
q(AB)‡ is the partition function of the transition state.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 20
The transition state
(left) Contour plot of a reaction pathway (- - -) on an energy landscape
for the reaction A + BC AB + C. The broken line shows the lowest-energy
path between reactants and products
(right) The transition state is an unstable point along the reaction pathway
(indicated by the arrow) and a stable point in all other directions that are
normal to the reaction coordinate.
Taken from Dill book
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 21
Calculating rate coefficients from TST
Provided that the unstable degrees of freedom are independent of the stable
degrees of freedom, q(AB)‡ is factorable into two components
‡‡
‡ where qqqqAB
represents the partition function for all of the ordinary thermodynamic degrees of
freedom of the TS structure, and q represents the one nonequilibrium vibrational
degree of freedom of the bond along the reaction coordinate.
The partition function of a vibration is
hv
kT
eq kThv
1
1
for a weak vibration with low frequency .
Once the system has reached the transition state, it is assumed to proceed
as quickly to the product state as the system permits, namely at the frequency
of the reaction coordinate vibration,
‡k
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 22
deviations from TST
A factor , the transmission coefficient, is often introduced (k‡ = ) to
account for observed deviations from the simple rate theory.
In condensed-phase medium, or in complex systems, < 1.
This gives the relation between the rate coefficient k2 and the partition functions:
‡
‡‡
2
Kh
kT
eqq
q
h
kTk kTD
BA
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 23
relation between value analysis and TST
In V5, we characterized the effect of a protein mutant by its -value
0
ln
G
kkRT
wt
mut
G0 reflects whether the mutant stabilizes the folded state F over the unfolded
state U stronger or weaker than wild-type protein.
According to TST, both wild-type and mutant folding proceed via transition
states with activation free energies G‡wt
and G‡mut.
wtFU
mutFU GGG 0
‡‡‡;‡
‡‡
‡
‡
‡
‡
wtmutkTG
kTGG
kTG
kTG
wt
mut
kTGmut
kTGwt
GGGe
ee
e
k
k
ek
ek
wtmut
wt
mut
mut
wt
A -value of 1 meansthat G0 = G‡ forthis mutant the mutant has the sameeffect on the TS structureas on the folded state this part of the TS structure is folded asin the folded state F.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 24
Catalysts speed up chemical reactions
Taken from Dill book
Free energy barrier G‡ is reduced by a catalyst C.
Catalysts affect the rates of chemical reactions; e.g. enzymes accelerate
biochemical reactions.
Enzymes can achieve remarkable accelerations, e.g. by a factor of
2 x 1023 for orotine 5‘-phosphate decarboxylase.
Linus Pauling proposed in 1946 that catalysts work by stabilizing the
transition state.
PBA k 0
ABC
kc
Linus Pauling 1935
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 25
Catalysts speed up chemical reactions
From transition theory we obtain for the catalyzed reaction rate kc (normalized to
the uncatalyzed reaction rate k0)
CAB
ABC
k
kc‡
‡
0
This ration represents the ‚binding constant‘ of the catalyst to the transition
state the rate enhancement by the catalyst is proportional to the binding affinity
of the catalyst for the transition state.
This has two important implications:
(1) to accelerate a reaction, Pauling‘s principle says to design a catalyst that
binds tightly to the transition state (and not the reactants or product, e.g.).
(2) a catalyst that reduces the transition state free energy for the forward reaction
is also a catalyst for the backward reaction.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 26
Speeding up reactions by intramolecular localization or solvent preorganization
Taken from Dill book
Reactants polarize, so water reorganizes.
Two neutral reactants become charged in the transition state.
Creating this charge separation costs free energy because it orients the solvent
dipoles.
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 27
Speeding up reactions by intramolecular localization or solvent preorganization
Enzymes can reduce the activation barrier by having a site with pre-organized
dipoles.
Taken from Dill book
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 28
Funnel landscape describe diffusion and polymer folding
All the processes described sofar involve well-defined reactants and products, and
a well-defined reaction coordinate.
But diffusional processes and polymer conformational changes often cannot be
described in this way. The starting point of protein folding is not a single point on
an energy landscape but a broad distribution.
A bumpy energy landscape, such as occursin diffusion processes, polymer conformationalchanges, and biomolecule folding.A single minimum in the center may represent‚product‘, but there can be many different‚reactants‘, such as the many openconfigurations of a denatured protein.
http://www.dillgroup.ucsf.edu/
6. Lecture SS 2005
Optimization, Energy Landscapes, Protein Folding 29
Summary
Chemical reactions and diffusion processes usually speed up with temperature.
This can be explained in terms of a transition state or activation barrier and an
equilibrium between reactants and a transient, unstable transition state.
For chemical reactions, the transition state involves an unstable weak vibration
along the reaction coordinate, and an equilibrium between all other degrees of
freedom.
Catalysts act by binding to the transition state structure.
They can speed up reactions by forcing the reactants into transition-state-like
configurations.