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DR. MANJOOR AHAMAD SYED,
M.Pharm,Ph.D
Assist. Professor
Department of Medicinal Chemistry,
College of Public Health and Medical Sciences,
Mettu University, Mettu
Post Box No-318
Ethiopia.
QSAR
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
PHYSICOCHEMICAL PROPERTIES
•Hydrophobicity of the molecule
•Hydrophobicity of substituents
•Electronic properties of substituents
•Steric properties of substituents
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.
Log (1/C)
Log P
. .. . .
.
..
.
0.78 3.82
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.
Parameters of QSAR
Log P Values: Uses
With these equations for anesthetics (ethers only), it is possible to
predict activity if log P known (doesn’t work if structure very
different)
ether chloroform halothane
0.98 1.97 2.3
(anesthetic activity increases in same order)
Drugs with Log P values close to 2 should be able to enter the CNS
efficiently
e.g. barbiturates have log P values close to 2 also; want to make
sure log P value is much lower if you don’t want possible CNS
side effects
Relationship between LogP and Log1/C
ELECTRONIC EFFECT
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.
COOH COO
-
+
H
+
KH = Dissociation constant =
[PhCO ]
[PhCO 2H]
2
-
σ for aromatic substituents is measured by comparing the
dissociation constants of substituted benzoic acids with
benzoic acid
X= electron withdrawing group (e.g. NO2,)
+
X = electron
withdrawing
group
X
CO2
CO H
2
X
H
Charge is stabilised by X
Equilibrium shifts to right
KX > KH
σ X = log
K X
K H
= logK X - logK H
Positive value
X= electron donating group (e.g. CH3)
σ X = log
K X
K H
= logK X - logK H
Charge destabilised
Equilibrium shifts to left
KX < KH
Negative value
COOH COO
-
+ H
+
X X
Log
 1
 C

 1.22  - 1.59  + 7.89
Conclusions:
• Activity increases if  is +ve (i.e. hydrophobic substituents)
• Activity increases if  is negative (i.e. e-donating substituents)
Example: Adrenergic blocking activity of -halo--arylamines
CH CH2 NRR'
X
Y
STERIC FACTORS
 The bulk, size and shape of a drug will influence how easily it can approach and
interact with binding site. It is a measure of the bulkiness of the group
 It represents and it effects on the closeness of contact between the drug and receptor
site.
 Bulky substituent may help to orient a drug property for maximum binding and
increase activity.
 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.
Taft’s Steric Factor (Es)
It is measure by the comparing the rate of hydrolysis of substituted
aliphatic esters against a standard ester under acidic condition
Disadvantages
ES value measures intramolecular steric effect but drugs interact with target binding site in
intermolecular process (i.e. a drug binding to a receptor)
Minimal Steric Difference
MSD assesses the difference between the molecules in terms of the parts
that do not overlap when one chemical formula is placed on top of the
other.
Example:
Pepperdine have one –CH2 group extra when compared with pyrrolidine.
The extra –CH2 group measures MSD, since this is the only portion that
does not overlap.
Molar Refractivity (MR)
this is a measure of a substituent’s volume
MR =
(n2
- 1)
(n2
- 2)
x
mol. wt.
density
Correction factor
for polarisation
(n=index of
refraction)
Defines volume
This is perticularly significant if the substituent has π
electrons or lone pair of electrons
Pharmacophore Modeling
A pharmacophore is the ensemble of steric and
electronic features that is necessary to ensure
the optimal molecular interactions with a specific
biological target and to trigger (or block) its
biological response
Pharmacophore Features
• HB Acceptor & HB Donor
• Hydrophobic
• Hydrophobic aliphatic
• Hydrophobic aromatic
• Positive charge/Pos. Ionizable
• Negative charge/Neg. Ionizable
• Ring Aromatic
Each feature consists of four parts:
1. Chemical function
2. Location and orientation in 3D space
3. Tolerance in location
4. Weight
Pharmacophoric Features
H bond Acceptor H bond Acceptor-Lipophilic H bond Donor
Ring aromatic
Positively Ionizable
Negatively Ionizable Positive Charge
Negative Charge
Hydrophobic
Hydrophobic-
Aliphatic
Hydrophobic-
Aromatic
Pharmacophore
H-bonding donor
H-bonding acceptor
Hydrophobic
H-bonding acceptor
H bond Donor
Hydrophobic
H bond Acceptor
H bond Acceptor
Ring aromatic
24
PHARMACOPHORE SELECTION
+
C O 2 H
C H 3
H
H
L
NPHD
DN
d 1
d 2 d 3
+
H
HO
L
CH3
N
PH
D
d 1
d 2 d 3
L
P D
d1
d2
D
d3
PHARMACOPHORE
ODH
L-LIPOPHILIC SITE
D-H- BOND DONOR
PD-PROTONATED H-
BOND DONOR
QSAR Software
Tripos – CoMFA, COMSIA
VolSurf
MSI – Catalyst, Serius
Docking Software
DOCK – Kuntz
Flex – Lengauer
LigandFit – MSI Catalyst
Name of the drug discovered Biol. Activity
1. Erythromycin analogs Antibacterial
2. New sulfonamide dervs. Antibacterial
3. Rifampicin dervs. Anti-t.B.
4. Napthoquinones antimalerials
5. Mitomycins antileukemia
6. Pyridine –2-methanol’s spasmolytics
7. Cyclopropalamines MAO inhibitors
8. -Carbolines MAO inhibitors
9. Phenyl oxazolidines radioprotectives
10.Hydantoin dervs. Anti cns-tumors
11.Quinolones antibacterial
Drug Design Successes (Fruits of QSAR)
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
QSAR.pptx

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QSAR.pptx

  • 1. DR. MANJOOR AHAMAD SYED, M.Pharm,Ph.D Assist. Professor Department of Medicinal Chemistry, College of Public Health and Medical Sciences, Mettu University, Mettu Post Box No-318 Ethiopia. QSAR
  • 2.
  • 3.
  • 4.
  • 5. 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 PHYSICOCHEMICAL PROPERTIES •Hydrophobicity of the molecule •Hydrophobicity of substituents •Electronic properties of substituents •Steric properties of substituents QSAR
  • 6. 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.
  • 7. Log (1/C) Log P . .. . . . .. . 0.78 3.82 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.
  • 8.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Log P Values: Uses With these equations for anesthetics (ethers only), it is possible to predict activity if log P known (doesn’t work if structure very different) ether chloroform halothane 0.98 1.97 2.3 (anesthetic activity increases in same order) Drugs with Log P values close to 2 should be able to enter the CNS efficiently e.g. barbiturates have log P values close to 2 also; want to make sure log P value is much lower if you don’t want possible CNS side effects
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23. ELECTRONIC EFFECT 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.
  • 24. COOH COO - + H + KH = Dissociation constant = [PhCO ] [PhCO 2H] 2 - σ for aromatic substituents is measured by comparing the dissociation constants of substituted benzoic acids with benzoic acid
  • 25. X= electron withdrawing group (e.g. NO2,) + X = electron withdrawing group X CO2 CO H 2 X H Charge is stabilised by X Equilibrium shifts to right KX > KH σ X = log K X K H = logK X - logK H Positive value
  • 26. X= electron donating group (e.g. CH3) σ X = log K X K H = logK X - logK H Charge destabilised Equilibrium shifts to left KX < KH Negative value COOH COO - + H + X X
  • 27.
  • 28. Log  1  C   1.22  - 1.59  + 7.89 Conclusions: • Activity increases if  is +ve (i.e. hydrophobic substituents) • Activity increases if  is negative (i.e. e-donating substituents) Example: Adrenergic blocking activity of -halo--arylamines CH CH2 NRR' X Y
  • 29. STERIC FACTORS  The bulk, size and shape of a drug will influence how easily it can approach and interact with binding site. It is a measure of the bulkiness of the group  It represents and it effects on the closeness of contact between the drug and receptor site.  Bulky substituent may help to orient a drug property for maximum binding and increase activity.  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.
  • 30. Taft’s Steric Factor (Es) It is measure by the comparing the rate of hydrolysis of substituted aliphatic esters against a standard ester under acidic condition
  • 31. Disadvantages ES value measures intramolecular steric effect but drugs interact with target binding site in intermolecular process (i.e. a drug binding to a receptor)
  • 32. Minimal Steric Difference MSD assesses the difference between the molecules in terms of the parts that do not overlap when one chemical formula is placed on top of the other. Example: Pepperdine have one –CH2 group extra when compared with pyrrolidine. The extra –CH2 group measures MSD, since this is the only portion that does not overlap.
  • 33.
  • 34. Molar Refractivity (MR) this is a measure of a substituent’s volume MR = (n2 - 1) (n2 - 2) x mol. wt. density Correction factor for polarisation (n=index of refraction) Defines volume This is perticularly significant if the substituent has π electrons or lone pair of electrons
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48. Pharmacophore Modeling A pharmacophore is the ensemble of steric and electronic features that is necessary to ensure the optimal molecular interactions with a specific biological target and to trigger (or block) its biological response
  • 49.
  • 50. Pharmacophore Features • HB Acceptor & HB Donor • Hydrophobic • Hydrophobic aliphatic • Hydrophobic aromatic • Positive charge/Pos. Ionizable • Negative charge/Neg. Ionizable • Ring Aromatic Each feature consists of four parts: 1. Chemical function 2. Location and orientation in 3D space 3. Tolerance in location 4. Weight
  • 51.
  • 52.
  • 53. Pharmacophoric Features H bond Acceptor H bond Acceptor-Lipophilic H bond Donor Ring aromatic Positively Ionizable Negatively Ionizable Positive Charge Negative Charge Hydrophobic Hydrophobic- Aliphatic Hydrophobic- Aromatic
  • 54. Pharmacophore H-bonding donor H-bonding acceptor Hydrophobic H-bonding acceptor H bond Donor Hydrophobic H bond Acceptor H bond Acceptor Ring aromatic
  • 55. 24 PHARMACOPHORE SELECTION + C O 2 H C H 3 H H L NPHD DN d 1 d 2 d 3 + H HO L CH3 N PH D d 1 d 2 d 3 L P D d1 d2 D d3 PHARMACOPHORE ODH L-LIPOPHILIC SITE D-H- BOND DONOR PD-PROTONATED H- BOND DONOR
  • 56. QSAR Software Tripos – CoMFA, COMSIA VolSurf MSI – Catalyst, Serius Docking Software DOCK – Kuntz Flex – Lengauer LigandFit – MSI Catalyst
  • 57. Name of the drug discovered Biol. Activity 1. Erythromycin analogs Antibacterial 2. New sulfonamide dervs. Antibacterial 3. Rifampicin dervs. Anti-t.B. 4. Napthoquinones antimalerials 5. Mitomycins antileukemia 6. Pyridine –2-methanol’s spasmolytics 7. Cyclopropalamines MAO inhibitors 8. -Carbolines MAO inhibitors 9. Phenyl oxazolidines radioprotectives 10.Hydantoin dervs. Anti cns-tumors 11.Quinolones antibacterial Drug Design Successes (Fruits of QSAR)
  • 58.
  • 59. 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