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What have we learned from the enthalpy database of200 compound binding to 8 carbonic anhydrase isoforms
as determined by ITC
Daumantas Matulis
Department of Biothermodynamics and Drug DesignInstitute of Biotechnology, Vilnius University
September 26, 2016
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 1 / 42
Outline
Protein - ligand interactions: Thermodynamics and Kinetics(Fluorescent thermal shift assay, Isothermal titration calorimetry,Enzymatic inhibition assays, Surface plasmon resonance)
Intrinsic - observed binding parameters
Structure - binding thermodynamics correlations (compound chemicalstructure - binding affinity (close to SAR), compound chemicalstructure - binding enthalpy, X-ray crystal structure ofprotein-compound complex - binding ∆G , ∆H, T∆S , ∆Cp, ∆V , andother
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 2 / 42
Protein - compound binding
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 3 / 42
Protein – Ligand binding
Every component in water!Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 4 / 42
Protein – Ligand binding
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 5 / 42
What types of energy can we measure for binding?
VT
A
PT
G
TP
G
PT
S
PP
S
PT
V
T
CP
TP P
S
T
V
A
G
S
V
Y
U
2/T
T
TG
P
2TT
Y
P
P
T
Y
/1 PT
H
P
P
T
C
P
P
T
C
H PC
2/T
T
TA
P
VT
U
VCP
V
T
C
P
V
T
C
Free energy 1st derivative 2nd derivative 3rd derivative
TP
V
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 6 / 42
Protein - compound binding assays
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 7 / 42
Fluorescent thermal shift assay (ThermoFluor®, FTSA)
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 8 / 42
Fluorescent thermal shift assay (ThermoFluor®, FTSA)
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 9 / 42
Strong vs Weak Ligand Dosing Curves
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 10 / 42
Wide range of affinities by FTSA
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 11 / 42
Advantage of TSA over ITC: no limit in affinity
ITC experiment: FTSA experiment:
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 12 / 42
Inhibition of CA XII enzymatic activity
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 13 / 42
Comparison of IC50 with Kd
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 14 / 42
CA XIV char. by ITC using strongly-binding dorzolamide)
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 15 / 42
CA XIV characterization by TF at various pH
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 16 / 42
CA XIV inhibitor dosing curves by SFA
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 17 / 42
Determination of CA XIV active protein fraction 96 ± 5 %of 500 nM
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 18 / 42
Intrinsic vs observed binding thermodynamics
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 19 / 42
Intrinsic binding enthalpy of VD12-05 to hCA II
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 20 / 42
General scheme of Intrinsic parameter determination bysubtracting protonation-linked effects from observedparameters
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 21 / 42
Observed ∆H dependence on buffer and pH
Ethoxzolamide binding to hCAXII
Jogaite et al., Bioorg. & Med. Chem. 21 (2013) 1431–6
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 22 / 42
Observed ∆Hobs as a function of pH and buffer
Ethoxzolamide binding to hCAXIII
Baranauskiene and Matulis BMC Biophysics 5:12 (2012)Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 23 / 42
Deprotonation enthalpy of inhibitor
RSO2NH– + H+ ↔ RSO2NH2
∆H = −6.2 kcal/mol
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 24 / 42
Inhibitor pKa by spectrophotometry
pKa = 9.4 ± 0.2
O
SNH2
S
O
O N
N
6 7 8 9 10 11 12pH
A(267nm)/A(247nm) 1.0
0.0
0.5
pKa = 8.9 ± 0.2
O
SNH2
S
ClO
O N
N4b 3b
240 250 260 270 280 2900.0
0.2
0.4
0.6
0.8
1.0
Abs
orpt
ion
Wavelength,,nm
,pH,7.0,,pH,7.5,pH,8.0,pH,8.5,pH,9.0,pH,9.5,pH,10.0,pH,10.5,pH,11.0,pH,11.5,pH,12.0
247 267
Kisonaite et al. Plos One 9(12): e114106 (2014)
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 25 / 42
Intrinsic ∆G of EZA binding to CA XIV
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 26 / 42
Observed vs intrinsic affinity to CA I
4e 3e1
10
100
1000
10000
1.5 k
SO2NH2
F
F
S
F
F
SO2NH2
SKd, p
M stebimoji K
d (pH 7.0)
tikroji Kd
150 k
Grey - observed, red - intrinsic affinity. Fluorine does not affect the (intrinsic)
affinityDaumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 27 / 42
ITC of all 12 human CA isoforms
δH (k
J/mol
)-80
-60
-40
-20
0
Pow
er (
μJ/
s)
14.4
14.6
14.8
15.0
15.2
Time (min)0 20 40 60 80 100
Pow
er (
μJ/s
)
14.2
14.4
14.6
14.8
15.0
15.2
Time (min)0 20 40 60 80
Pow
er (
μJ/s
)
14.8
15.0
15.2
15.4
15.6
15.8
Time (min)0 20 40 60 80
Pow
er (
μJ/
s)
14.5
15.0
15.5
Time (min)0 20 40 60 80 100
Pow
er (
μJ/s
)4.5
5.0
5.5
Time (min)0 20 40 60 80
Pow
er (
μJ/s
)
13.2
13.4
13.6
13.8
14.0
Time (min)0 20 40 60 80 100
Molar ratio
0 0.5 1 1.5 2 2.5
Pow
er (
μJ/s
)
5.5
6.0
6.5
7.0
Time (min)0 20 40 60 80 100
Pow
er (
μJ/
s)
20.8
21.0
21.2
21.4
21.6
Time (min)0 20 40 60
δH (k
J/mol
)
-80
-60
-40
-20
0
δH (k
J/mol
)
-80
-60
-40
-20
0
δH (k
J/mol
)
-80
-60
-40
-20
0
Molar ratio
0 0.5 1 1.5 2 2.5
Molar ratio
0 0.5 1 1.5 2 2.5
Pow
er(μ
J/s)
6.0
6.5
7.0
7.5
Time (min)0 20 40 60 80 100
CA I, pH 8.0 CA II, pH 7.9 CA III, pH 8.0
CA IV, pH 8.0 CA VA, pH 8.0 CA VB, pH 8.0
CA VI, pH 8.0 CA VII, pH 8.0 CA IX, pH 8.0
CA XII, pH 8.0
CA XIII, pH 8.0
CA XIV, pH 8.0
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 28 / 42
ThermoFluor of all 12 human CA isoforms
CA III
T m(o C)
50
55
60
65
70
75
80
CA II, pH 6.0
Lt (M)1×10−31×10−6 1×10−5 1×10−40
CA XIV, pH 6.2
Fluo
resc
ence
(a. u
.)
6
8
10
12
t (oC)40 50 60 70
EZA(μM)07.8026.3200
0Lt (M)
1×10−31×10−6 1×10−5 1×10−4
CA XIII, pH 6.0
Fluo
resc
ence
(a. u
.)
0
20
40
60
80
80
[EZA] (μM)011.717.6200
t (oC)40 50 60 70
0
Lt (M)1×10−31×10−6 1×10−5 1×10−4
CA XII, pH 6.0
Fluo
resc
ence
(a. u
.)
2
4
6
8
10 [EZA](μM)011.726.3200
t (oC)40 50 60 70 80
CA IX, pH 6.2
Fluo
resc
ence
(a. u
.)
0
10
20
30
t (oC)40 50 60 70 80
[EZA] (μM)017.626.3133
CA VII, pH 6.0
Fluo
resc
ence
(a. u
.)
5
10
15
t (oC)40 50 60 70 80
[EZA](μM)012.525.0200
CA VI, pH 5.7
Fluo
resc
ence
(a. u
.)
5
10
15
20
t (oC)40 50 60 70 80
[EZA] (μM)0
5025
100
CA VA, pH 6.0
Fluo
resc
ence
(a. u
.)
10
15
20
25
t (oC)40 50 60 70 80
[EZA](μM)06.2525.0100
CA IV, pH 6.1
Fluo
resc
ence
(a. u
.)
5
10
15
t (oC)40 50 60 70 80
[EZA](μM)011.717.6200
Fluo
resc
ence
(a.
u.)
10
20
30
40
t (oC)40 50 60 70 80
[EZA](μM)013.229.6100
CA I, pH 6.0
Fluo
resc
ence
(a. u
.)
0
10
20
30
40
t (oC)40 50 60 70 80
[EZA](μM)20026.3411.710
T m(o C)
50
55
60
65
70
75
80
T m(o C)
50
55
60
65
70
75
80
T m(o C)
50
55
60
65
70
75
80
Fluo
resc
ence
(a. u
.)
5
10
15
20
25
( C)40 50 60 70 80
[EZA](μM)012.550.0100
CA VB, pH 6.0
o
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 29 / 42
U-shapes of all 12 CA isoform for ∆G of EZA+CA
CA VA
ΔbGintr
Δ bG
(kJ/m
ol)
−70
−60
−50
−40
−30
−20CA III
ΔbGintr
CA I
ΔbGintr
CA II
ΔbGintr
Δ bG
(kJ/m
ol)
−70
−60
−50
−40
−30
−20CA IV
ΔbGintr
CA VB
ΔbGintr
CA VII
ΔbGintr
CA IX
ΔbGintr
pH5.0 6.0 7.0 8.0 9.0 10.0
ΔbG
(kJ/
mol
)
−70
−60
−50
−40
−30
−20CA XII
ΔbGintr
CA XIII
ΔbGintr
CA XIV
ΔbGintr
CA VI
ΔbGintrΔ bG
(kJ/m
ol)
−70
−60
−50
−40
−30
−20
pH5.0 6.0 7.0 8.0 9.0 10.0
pH5.0 6.0 7.0 8.0 9.0 10.0
pKa =7.1
pKa=6.5 pKa=7.2
pKa=6.2 pKa=7.0pKa=6.8
pKa=7.0 pKa=8.3pKa=6.8
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 30 / 42
X-shapes of all 12 CA isoforms for ∆H of EZA+CA
CA VA
CAIII
pH5.0 6.0 7.0 8.0 9.0 10
CA XIV
ΔbH
(kJ/
mol
)
−100
−80
−60
−40
−20
0
Pi
TRIS
ΔbHintr
CA I
Pi
TRIS
ΔbHintr
CA II
ΔbH
(kJ/
mol
)
−100
−80
−60
−40
−20
0
Pi
TRIS
ΔbHintr
CA IV
Pi
TRIS
ΔbHintr
CA VB
ΔbH
(kJ/
mol
)
−100
−80
−60
−40
−20
0
Pi
TRIS
ΔbHintr
CA VI
Pi
TRIS
ΔbHintr
CA VII
Pi
TRIS
ΔbHintr
CA IX
pH5.0 6.0 7.0 8.0 9.0 10
ΔbH
(kJ/
mol
)
−100
−80
−60
−40
−20
0
Pi
TRIS
ΔbHintr
CA XII
pH5.0 6.0 7.0 8.0 9.0 10
Pi
TRIS
ΔbHintr
CA XIII
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 31 / 42
Structure - thermodynamics correlations
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 32 / 42
Compound structure – thermodynamics correlation map
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 33 / 42
Enthalpy - entropy compensation
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 34 / 42
Compound structure – kinetics correlation map
100 nM
1000 nM
5
5.5
6
6.5
7
-3 -2.5 -2 -1.5 -1 -0.5 0
2-1-b
2-1-b
2-1-b
2-1-b
2-1-b2-1-b
2-1-a 2-1-a
2-1-a
2-1-a
2-1-a
2-1-c2-1-c2-1-c2-1-c
2-1-c
2-1-c
log(kd)
log(ka)
10 nM1 nM
5
5.5
6
6.5
7
-3 -2.5 -2 -1.5 -1 -0.5
1-1-b
1-1-b
1-1-b
1-1-b1-1-b
1-1-b
1-1-a
1-1-a1-1-a
1-1-a
1-1-a
1 nM 10 nM
log(ka)
log(kd)
100 nM
1000 nM
A
C
4.5
5
5.5
6
6.5
-2 -1.5 -1 -0.5 0 0.5
2-2-a
2-2-b
2-2-a
2-2-a
2-2-a
2-2-a
2-2-b
2-2-b
2-2-b
2-2-b 2-2-b
log(kd)
log(ka)
1 nM 10 nM 100 nM
1000 nM
D
CA I
CA II
CA VII
CA IXcd
CA XIIcd
CA XIII
log(kd)
5
5.5
6
6.5
7
-2.2 -1.8 -1.4 -1 -0.6
log(ka)
3-3-a
3-3-a
3-3-a
3-3-a
3-3-a
3-1-a
3-1-a
3-1-a
3-2-c
3-2-c
3-2-c
3-2-c3-2-c 3-4-a
3-4-a3-4-a3-2-a
3-2-a
3-2-b
3-2-b
3-2-d
3-2-d
E1 nM 10 nM
100 nM
1000 nM
4
4.5
5
5.5
6
6.5
-1.5 -1 -0.5 0
1-2-a
1-2-a
1-2-a
1-2-a
1-2-a
1-2-a
1-2-b1-2-b
1-2-b
1-2-b
1-2-c
1-2-c
1-2-c
1-2-c
1000 nM
100 nM
10 nM1 nM
log(kd)lo
g(ka)
B
Talibov et al. J. Med. Chem. 2016
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 35 / 42
X-ray structure – thermodynamics correlation map
Kisonaite et al. Plos One 9(12): e114106 (2014)Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 36 / 42
Crystal structures of 1 and 3 bound to chCA IX
Dudutiene et al., J. Med. Chem. 57 (2014) 2435–46
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 37 / 42
Selective CA IX inhibitors
0 10-9
10-7
10-5
0
25
50
75
100
Act
ivity
(%
)
Lt (M)
0 40 80
0.2
0.4
0.6
Ab
sorb
an
ce(a
.u.)
Time (s)
0 0.5 1.0 1.5 2.0Molar ratio
0 0.5 1.0 1.5 2.0
-30
-20
-10
0
Molar ratio
40 80-0.08
-0.04
0.00
Po
we
r(µ
cal/s)
Time (min)40 80
-0.08
-0.04
0.00
Po
we
r(µ
cal/s)
Time (min)
0 10-9
10-7
10-5
Lt (M)
0 40 80
0.2
0.4
0.6
Abs
orba
nce
(a.u
.)
Time (s)
0 10-6
10-5
10-4
Lt (M)
0 10-6
10-5
10-4
0
5
10
15
20
∆Tm
(o C)
Lt (M)
0.0
0.5
1.060 80T (oC)
No
rma
lize
dflu
ore
sce
nce
(a.
u.)
0.0
0.5
1.060 80T (oC)
No
rma
lize
dflu
ore
sce
nce
(a.
u.)
F
F
O
S
F
N
SO2NH2F
F
O
S
F
N
SO2NH2
VD12-09 VD11-4-2
Res
pons
e (R
. U.)
-1
0
1
2
3
Time (s)-50 0 50 100 150 200
Resp
onse
(R. U
.)
0
4
8
12
Time (s)-50 0 50 100 150
Resp
onse
(R.U
.)
0
2
4
6
8
10
Time (s)-40 0 40 80 120
VD11-4-2
VD12-09
Dudutiene et al., J. Med. Chem. 57 (2014) Talibov et al., J. Med. Chem. 59(5) (2016)
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 38 / 42
Building CA IX inhibitors – SAR
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 39 / 42
Conclusions
All binding and inhibition assays will provide only the observedthermodynamic parameters. It is important to distinguish observedfrom intrinsic binding parameters
Only intrinsic parameters may be correlated with structure
TSA is a very good assay to determine tight binding
A series of CA IX inhibitors were designed using biothermodynamicand structural methods with the potential to be developed asanticancer drugs
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 40 / 42
Acknowledgment
Collaborations:Peteris TrapencierisWen-Yih ChenNadine MartinetJohn E. LadburySeppo ParkkilaJoachim W. DeitmerHelena DanielsonMatthew J. ToddDaiva TauraiteAlgirdas BrukstusRolandas Meskys
Funding:FP6 Marie CurieFP7-Regpot “MoBiLi”EEA-Norway GrantsCOSTResearch Council of LithuaniaDotacijos GrantLithuania-Latvia-Taiwan GrantHealthy Aging Grant
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 41 / 42
Thank you for your attenton!
Daumantas Matulis (Vilnius University) 2nd Annual European MicroCal Meeting September 26, 2016 42 / 42