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Drug Design Tutorial # 3
Quantitative Structure Activity
Relationships (QSAR) by Hansch Analysis
Tanta university
Faculty of pharmacy
Dept. of Pharm. Chem.
Pharmacy Seniors
2017/2018
1
CONTENTS
 Introduction
 Hydrophobicity of Molecule
 Hydrophobicity of Substituents
 Electronic Effect
 Steric Effect
 Hansch Equation
 Craig Plot
 Examples
 References
2
QSAR
 It is said to be a mathematical relationship in the form of an equation
between the biological activity and measurable physiochemical
parameters.
 QSAR approach attempts to identify and quantify the physicochemical
properties of a drug and to see whether any of these properties has an
effect on the drug’s biological activity by using a mathematical equation
3
 PHYSICOCHEMICAL PROPERTIES
• Hydrophobicity of the molecule
• Hydrophobicity of substituents
• Electronic properties of substituents
• Steric properties of substituents
Activity is expressed as log(1/C).
C is the minimum concentration required to cause a defined
biological response.
4
QSAR
 A range of compounds is synthesized in order to vary one
physicochemical property and to test it affects the bioactivity.
 A graph is then drawn to plot the biological activity on the y axis versus
the physicochemical feature on the x axis.
 It is necessary to draw the best possible line through the data points on
the graph.
 This done by procedure known as
 linear regression analysis by the least square method
5
QSAR
 If we draw a line through a set of data points will be scattered on either side of the line.
 The best line will be the one closest to the data points.
 To measure how close the data points are , vertical lines are drawn from each point.
6
1 - HYDROPHOBICITY of the molecule
 Hydrophobic character of a drug is crucial to how easily it crosses the cell
membrane and may also important in receptor interactions.
 Hydrophobicity of a drug is measured experimentally by testing the drugs
relative distribution in octanol water mixture.
 This relative distribution is known as partition coefficient.
7
Linear relationship between Log p and Log 1/C
8
Non –linear relationship between Log P and Log 1/C 9
THE SUBSTITUENT HYDROPHOBICITY
CONSTANT (π)
 Partition coefficient can be calculated by knowing the contribution that various
substituents, is known as substituent hydrophobicity constant(π)
 A measure of a substituent’s hydrophobicity relative to hydrogen
 Partition coefficient is measured experimently for a standard compound such as
benzene with or without a substituent (X).
 The hydrophobicity constant (π x) for sustituent X.
10
 A possitive p value shows that the substituent is more hydrophobic than
hydrogen
 A negative value indicates that the substituent is less hydrophobic.
 The p value is charecteristic for sustituent.
11
12Multiple substituents on a compound: additive treatment
2 - Electronic properties of substituents
 The electronic effect of various sustituents will clearly have an effect on drug
ionisation and polarity.
 Have an effect on how easily a drug can pass through the cell membrane or how
strongly it can interact with a binding site.
 Hammet substituent constant(σ) this is a measure of electron with-drawing or
electron-donating ability of a substituents on an aromatic ring.
13
14
15
donating
16
 σ value depends on inductive and resonance effects
 σ value depends on whether the substituent is meta or para
 ortho values are invalid due to steric factors
 Hammet substituent constant (σ) can only be used for aromatic
substituents
N.B.
17
Electronic properties of substituents(cont.)
3 - STERIC FACTORS
 The bulk, size and shape of a drug will influence how easily it can
approach and interact with binding site.
 A bulky substituents may act like a shield and hinder the ideal
interaction between a drug and its binding site.
 Bulky substituent may help to orient a drug properly for maximum
binding and increase activity
19
Taft’s Steric Factor (Es)
• Measured by comparing the rates of hydrolysis of substituted aliphatic esters
against a standard ester under acidic conditions
Es = log kx - log ko
kx represents the rate of hydrolysis of a substituted ester
ko represents the rate of hydrolysis of the parent ester
20
Steric effect
Taft steric parameter (Es)
XCH2
O
O CH3
XCH2
O
O
(-) + CH3OH+ H2O
k
Es = log k XCH2COOMe - log k CH3COOMe = log
kx__
kH
21
Steric effect
Taft steric parameter (Es)
22
HANSCH EQUATION
 A QSAR equation relating various physicochemical properties to the biological activity
of a series of compounds
 Usually includes log P, electronic and steric factors
 Start with simple equations and elaborate as more structures are synthesised
 Typical equation for a wide range of log P is parabolic
Log1/C = k1 – k22 + k3 +k4Es + k5
23
HANSCH EQUATION
 1/C : Activity , where C is the concentration of a drug required to elicit a
given response
 Π : octanol/water partition coefficient, a measure of the hydrophobic
bonding power of the drug.
 σ : Hammett substituent constant, which is a measure of the electronic
effect on the rate of reaction.
 Es : Taft steric parameter
Log 1/C = k1 – k22 + k3 +k4Es + k5
24
HANSCH EQUATION
25
Craig Plot
Craig plot shows values for 2
different physicochemical
properties for various
substituents
26
A comprehensive table
compiling some
physicochemical parameters
used in QSAR investigations is
cited below
Substituent  m p Es
-H 0.00 0.00 0.00 0.0
-CH3
0.56 -0.07 -0.17 -1.2
-CH2CH3
1.02 -0.07 -0.15 -1.3
-CH2CH2CH3
1.55 -0.07 -0.13 -1.6
-CH(CH3)2
1.53 -0.07 -0.15 -1.7
-OCH3
-0.02 0.12 -0.27 -0.5
-Phenyl 1.96 0.06 -0.01 -3.8
-NH2
-1.23 -0.16 -0.66 -0.6
-F 0.14 0.34 0.06 [0.4
-Cl 0.71 0.37 0.23 -0.9
-Br 0.86 0.39 0.23 -1.1
-I 1.12 0.35 0.18 -1.4
-CF3
0.88 0.43 0.54 -2.4
-OH -0.67 0.12 -0.37 -0.5
-COCH3
-0.55 0.38 0.50 -1.5
-COOCH3’ 0.01 0.50 0.56 -1.8
-NHCOCH3
-0.97 0.21 0.00 -2.8
-NO2
-0.8 0.71 0.78 -2.5
-CN -0.57 0.56 0.66 -0.5
-N+(CH3)3
-0.25 0.78 0.50 -2.3
-COOH -0.16 0.36 0.45 -1.4
27
Ex.1
 log l/C = 0.684 log  - 0.921 + 0.268
I) X = CH3
II) X = -CH(CH3)2
III) X = NH2
IV) X = -OH
•1. Antibacterial activity of a group of substituted phenols.
28
Ex. 2
 log l/C = - 0.081 2+ 1.483  - 1.578
2. Antibacterial activity of a group of substituted diguanidines antibacterial activity:
I) n= 1
II) n = 2
III) n = 3
29
Ex. 3
 log K = - 0.152 - 1.681 + 4.053 Es + 7.2 12
I) R = CH3
II) R = N+(CH3)3
III) R = OCH3
IV) R = OH
3. Acetylcholinesterase inhibitory activity of phosphonate esters:
30
31
Question? 32
Answer
33
REFERENCES
 1. An introduction to medicinal chemistry by Graham L Patric 3rd edition
pagee no:271-298
 2. Foye : Principles of medicinal chemistry
 3. Burgers medicinal chemistry
34

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QSAR by hansch analysis

  • 1. Drug Design Tutorial # 3 Quantitative Structure Activity Relationships (QSAR) by Hansch Analysis Tanta university Faculty of pharmacy Dept. of Pharm. Chem. Pharmacy Seniors 2017/2018 1
  • 2. CONTENTS  Introduction  Hydrophobicity of Molecule  Hydrophobicity of Substituents  Electronic Effect  Steric Effect  Hansch Equation  Craig Plot  Examples  References 2
  • 3. QSAR  It is said to be a mathematical relationship in the form of an equation between the biological activity and measurable physiochemical parameters.  QSAR approach attempts to identify and quantify the physicochemical properties of a drug and to see whether any of these properties has an effect on the drug’s biological activity by using a mathematical equation 3
  • 4.  PHYSICOCHEMICAL PROPERTIES • Hydrophobicity of the molecule • Hydrophobicity of substituents • Electronic properties of substituents • Steric properties of substituents Activity is expressed as log(1/C). C is the minimum concentration required to cause a defined biological response. 4
  • 5. QSAR  A range of compounds is synthesized in order to vary one physicochemical property and to test it affects the bioactivity.  A graph is then drawn to plot the biological activity on the y axis versus the physicochemical feature on the x axis.  It is necessary to draw the best possible line through the data points on the graph.  This done by procedure known as  linear regression analysis by the least square method 5
  • 6. QSAR  If we draw a line through a set of data points will be scattered on either side of the line.  The best line will be the one closest to the data points.  To measure how close the data points are , vertical lines are drawn from each point. 6
  • 7. 1 - HYDROPHOBICITY of the molecule  Hydrophobic character of a drug is crucial to how easily it crosses the cell membrane and may also important in receptor interactions.  Hydrophobicity of a drug is measured experimentally by testing the drugs relative distribution in octanol water mixture.  This relative distribution is known as partition coefficient. 7
  • 8. Linear relationship between Log p and Log 1/C 8
  • 9. Non –linear relationship between Log P and Log 1/C 9
  • 10. THE SUBSTITUENT HYDROPHOBICITY CONSTANT (π)  Partition coefficient can be calculated by knowing the contribution that various substituents, is known as substituent hydrophobicity constant(π)  A measure of a substituent’s hydrophobicity relative to hydrogen  Partition coefficient is measured experimently for a standard compound such as benzene with or without a substituent (X).  The hydrophobicity constant (π x) for sustituent X. 10
  • 11.  A possitive p value shows that the substituent is more hydrophobic than hydrogen  A negative value indicates that the substituent is less hydrophobic.  The p value is charecteristic for sustituent. 11
  • 12. 12Multiple substituents on a compound: additive treatment
  • 13. 2 - Electronic properties of substituents  The electronic effect of various sustituents will clearly have an effect on drug ionisation and polarity.  Have an effect on how easily a drug can pass through the cell membrane or how strongly it can interact with a binding site.  Hammet substituent constant(σ) this is a measure of electron with-drawing or electron-donating ability of a substituents on an aromatic ring. 13
  • 14. 14
  • 16. 16
  • 17.  σ value depends on inductive and resonance effects  σ value depends on whether the substituent is meta or para  ortho values are invalid due to steric factors  Hammet substituent constant (σ) can only be used for aromatic substituents N.B. 17
  • 18. Electronic properties of substituents(cont.)
  • 19. 3 - STERIC FACTORS  The bulk, size and shape of a drug will influence how easily it can approach and interact with binding site.  A bulky substituents may act like a shield and hinder the ideal interaction between a drug and its binding site.  Bulky substituent may help to orient a drug properly for maximum binding and increase activity 19
  • 20. Taft’s Steric Factor (Es) • Measured by comparing the rates of hydrolysis of substituted aliphatic esters against a standard ester under acidic conditions Es = log kx - log ko kx represents the rate of hydrolysis of a substituted ester ko represents the rate of hydrolysis of the parent ester 20
  • 21. Steric effect Taft steric parameter (Es) XCH2 O O CH3 XCH2 O O (-) + CH3OH+ H2O k Es = log k XCH2COOMe - log k CH3COOMe = log kx__ kH 21
  • 22. Steric effect Taft steric parameter (Es) 22
  • 23. HANSCH EQUATION  A QSAR equation relating various physicochemical properties to the biological activity of a series of compounds  Usually includes log P, electronic and steric factors  Start with simple equations and elaborate as more structures are synthesised  Typical equation for a wide range of log P is parabolic Log1/C = k1 – k22 + k3 +k4Es + k5 23
  • 24. HANSCH EQUATION  1/C : Activity , where C is the concentration of a drug required to elicit a given response  Π : octanol/water partition coefficient, a measure of the hydrophobic bonding power of the drug.  σ : Hammett substituent constant, which is a measure of the electronic effect on the rate of reaction.  Es : Taft steric parameter Log 1/C = k1 – k22 + k3 +k4Es + k5 24
  • 26. Craig Plot Craig plot shows values for 2 different physicochemical properties for various substituents 26
  • 27. A comprehensive table compiling some physicochemical parameters used in QSAR investigations is cited below Substituent  m p Es -H 0.00 0.00 0.00 0.0 -CH3 0.56 -0.07 -0.17 -1.2 -CH2CH3 1.02 -0.07 -0.15 -1.3 -CH2CH2CH3 1.55 -0.07 -0.13 -1.6 -CH(CH3)2 1.53 -0.07 -0.15 -1.7 -OCH3 -0.02 0.12 -0.27 -0.5 -Phenyl 1.96 0.06 -0.01 -3.8 -NH2 -1.23 -0.16 -0.66 -0.6 -F 0.14 0.34 0.06 [0.4 -Cl 0.71 0.37 0.23 -0.9 -Br 0.86 0.39 0.23 -1.1 -I 1.12 0.35 0.18 -1.4 -CF3 0.88 0.43 0.54 -2.4 -OH -0.67 0.12 -0.37 -0.5 -COCH3 -0.55 0.38 0.50 -1.5 -COOCH3’ 0.01 0.50 0.56 -1.8 -NHCOCH3 -0.97 0.21 0.00 -2.8 -NO2 -0.8 0.71 0.78 -2.5 -CN -0.57 0.56 0.66 -0.5 -N+(CH3)3 -0.25 0.78 0.50 -2.3 -COOH -0.16 0.36 0.45 -1.4 27
  • 28. Ex.1  log l/C = 0.684 log  - 0.921 + 0.268 I) X = CH3 II) X = -CH(CH3)2 III) X = NH2 IV) X = -OH •1. Antibacterial activity of a group of substituted phenols. 28
  • 29. Ex. 2  log l/C = - 0.081 2+ 1.483  - 1.578 2. Antibacterial activity of a group of substituted diguanidines antibacterial activity: I) n= 1 II) n = 2 III) n = 3 29
  • 30. Ex. 3  log K = - 0.152 - 1.681 + 4.053 Es + 7.2 12 I) R = CH3 II) R = N+(CH3)3 III) R = OCH3 IV) R = OH 3. Acetylcholinesterase inhibitory activity of phosphonate esters: 30
  • 31. 31
  • 34. REFERENCES  1. An introduction to medicinal chemistry by Graham L Patric 3rd edition pagee no:271-298  2. Foye : Principles of medicinal chemistry  3. Burgers medicinal chemistry 34