Advanced Medicinal
Advanced Medicinal
Chemistry
Chemistry
Barrie Martin
AstraZeneca R&D Charnwood
Lecture 3:
Lecture 3:
Molecular Interactions and
Drug Potency
Dose-Response Curves
Enzyme Inhibitors (competitive):
Measure inhibition at differing
concentrations of ‘drug’.
10nM 30nM 100nM 300nM 1M
%
Inhibition
0
50
100
IC50=85nM
[Inhibitor]
IC50 - The inhibitor concentration that
causes a 50% reduction in intrinsic enzyme
activity
pIC50 = - log10(IC50) IC50 1M = pIC50 6.0
IC50 1nM = pIC50 9.0
Agonists: Measure % Response vs Agonist concentration
EC50 - The agonist concentration that causes 50% of the maximum response. pEC50 = - log10(EC50)
For a drug, typically target affinity values of pIC50 8 (<10 nM concentration)
[Agonist]
%
Response
EC50=85nM
Antagonists: Situation more complex. Antagonists displace the agonist dose-response curve
rightwards – most accurate measure of potency (pA2) requires measurement of agonist binding at
multiple concentrations of antagonist
iNOS - An AZ Charnwood Discovery Project
Active Site,
Haem & Inhibitor
N
H2
NH
NH2
N
H
O
OH
N
H2
NH
NH2
O
O
OH
iNOS
+ NO
Nitric Oxide Synthases – catalyse production of
NO from arginine in the body – implicated in
inflammatory conditions e.g. rheumatoid arthritis
N
N
N
O
N
N
NH2
F
F
AZ10896372
pIC50 7.5
A potent, selective iNOS inhibitor
How Do Drugs Bind to Enzymes & Receptors?
Drugs bind to particular sites on enzymes and receptors. In the case of an enzyme,
this will often be the active site. Receptors have binding pockets formed between
transmembrane helixes where drugs usually bind (not always the agonist’s binding site).
These sites are comprised of a variety of amino
acid residues which give rise to a specific 3-D
shape and molecular features:
• Charges: CO2
-
, NH3
+
,
=NH-+
• Polar groups: OH, C=O, CONH
• Hydrophobic groups: Ph, Alkyl, SMe
In enzymes, reaction centres are also present:
• Asp-His-Ser in esterases
• SH in some proteases
• Metal ions (CYP-450, iNOS).
N
H
O
N
H
N
H
O
O
O O
O
SER S
GLU E PHE F
N N
N
N
Fe
CO2
H
HO2C
Haem group – iNOS, CYP-450
Small molecules bind to these pockets by a combination of:
• Shape complementarity
• Energetically favourable interactions
Shape Complementarity
N
H
N
S
N
H
N
H
CN
N
H
N
NH2
Cimetidine
Histamine
H2 Receptor Antagonist
iNOS Enzyme Inhibitor
AZ10896372
Arginine
N
N
+
N
H
NH2
F
F
H
O
N
N
N
H2 N
+
NH2
H
NH3+
O
O
The drug must fit into the Binding Site and shape complementarity is an important feature of a
drug molecule. Competitive enzyme inhibitors often bear a resemblance to the substrate, as they
bind to the same Active Site. This is also true for some receptor antagonists, but not all.
The strength of an interaction depends on the complementarity of the physico-chemical
properties of atoms that bind, i.e. protein surface and ligand structure.
The ‘Binding Sites’ are not totally rigid. The side chains of the amino acids that make up the
pocket have some mobility. A variety of related structures can thus be accommodated by
movements that change the shape of the active site. This is known as the ‘Induced Fit
Hypothesis’.
Drug-Protein Binding Energies
K = [P:D]
[P] x [D]
Both Enthalpy (H) and Entropy (S) changes affect binding strength
G=-RTlnK and G=H-TS
Gibbs Free Energy Changes
[Protein] + [Drug] [P:D]
K
For a binding Equilibrium between a Protein & a Drug
G
Drug Protein
Drug
Protein
NB. When a drug moves from the aqueous medium into the ‘Binding Site’ it has to
break H-Bonds with water, de-solvate etc. These processes require energy, so the
net energy available for binding is only a fraction of the above bond energies.
Drug-Protein Interactions
Bond Example kJ/mol
Van der Waal Xe…Xe, alkyl groups 2
Hydrophobic Ph…Ph (-stacking) 5
Dipole - Dipole C=O…HN-R (+/-)...(+/-) 5
Hydrogen H2O…H2O (X-H) …(Y-R) 35
Ion - Dipole F-
…H2O (+/-ve)…(+/-) 170
Ion - Ion H+
…Cl-
(+ve)…(-ve) 450
Covalent C-O 350
Electrostatic Interactions
• These result from the attraction between molecules bearing opposite
electronic charges.
• Strong ionic interactions can contribute very strongly to binding.
• Proteins contain both CO2
-
and NH3
+
residues and these may be present
at the binding site to interact with oppositely charged groups on the drug.
Neuraminidase Inhibitor (Antiviral GSK)
O
O
O
OH
OH
O
H
R
R
N
N
N
H
H
H
H H
ARG
-
+
AZ-10896372 iNOS Inhibitor
N
N
N
H
O
N
N
F
H
+
N
H H
O
O
GLU
F
• The energies involved in a ‘salt bridge’ can be in the order of >30 kJ/mol
• This can lead to increase in observed binding of >106
fold
Hydrogen Bonding Interactions
A hydrogen bond results when a hydrogen is shared between two electronegative atoms
The Donor provides the H, while the Acceptor provides an electron pair
D-X-H….Y-A e.g. R-O-H…..O=C
N
N
N
O
N
N
F
H
+
N
H H
O
H
N
H
O
N
H
H
O
H
H
O
OH
O
OH
O
O
R
R
H
H
O
O
GLU
AZ10896372 - iNOS complex
Amide to Tyrosine H-Bond
Neuraminidase Inhibitor
Charge re-inforced H-Bond
Hydrophobic Interactions
• Drugs, in general, are hydrophobic molecules
• The ‘Binding Sites’ of proteins are also hydrophobic in character
• Thus a mutual attraction can result (like attracts like).
• What drives this attraction?
• Each -(CH2)- group can contribute >1 kJ/mol towards binding
• Each -Ph ring can contribute >2 kJ/mol towards binding
• These effects are additive and hence Hydrophobic Bonding
can make a very high contribution to binding
• Entropy gains are achieved when water molecules are displaced
from ‘active site’, and return to a more random (high S) state.
• Enthalpy gains may result from van der Waals bonding:
• Between Alkyl, Aryl, Halogen groups
• Stacking is an important type of this
Hydrophobic Bonding : Entropy
Water molecules are
in a highly disordered
state. Each molecule
maximises H-Bonds
to other molecules
of water.
When a hydrophobic drug
is placed into water, the
structure of the water around
the drug is more ordered.
This allows the H2O-H2O
H-bonds to be maintained.
This leads to lower entropy
and is not favoured.
Hydrophobic Bonding : Entropy
D E
• Hydrophobic interaction between protein and drug is favoured by entropy gains:
• Bulk water returns to less ordered state
• Water molecules may be expelled from being bound in active site.
• In addition enthalpy gains due to new bonds may also be favourable
(e.g. van der Waals interactions)
D
E
Probing Hydrophobicity
in Drug Discovery
NH
N
H
NH2
R
F
F
New iNOS lead identified: R =Me, small lipophilic substituent iNOS pIC50 7.8
Aim: Probe lipophilic pocket – what else could we put there?
How would we make it?
NH2
NH2
NH
F
F
R
O
Effect of Hydrophobicity on Activity
Binding into Lipophilic pocket of iNOS
NH
N
H
NH2
R
F
F R cLogP IC50 M
Me 1.13 0.016
Et 1.66 0.009
CF3 1.75 0.008
Thiophene 2.02 0.003
Phenyl 2.34 0.015
2-Me-Thiophene 2.48 0.026
cLogP
7.6
7.8
8
8.2
8.4
8.6
1
1.2 1.4 1.6 1.8 2 2.2 2.4 2.6
iNOS_pIC50
Too big to fit in pocket optimally
(Shape complementarity)
Bioisosteres
Isostere:
Similarities in physicochemical props. of atoms/groups/molecules with similar electronic structures
(no. and arrangement of electrons in outermost shell). Often observed with groups in the same
periodic table column (Cl  Br, C  Si).
Grimm – Hydride Displacement Law (1925) - Replacement of
chemical groups by shifting one column to the right & adding H.
Bioisostere:
Simplest definition - any group replacement which improves the molecule in some way
Two different interchangeable functionalities which retain biological activity.
Bioisosteric replacements can offer improvements both in potency and other properties (e.g.
metabolic stability, absorption)
O
O N
N
N
N N
O
S O
O
-
-
Carboxylic acid & bioisosteres
O S
O
N
H
N
H
N
N
S
N
H
O O
-CH2 & bioisosteres
amide & bioisosteres
C N O F Ne Na+
CH NH OH FH
CH2 NH2 OH2 FH2
+
CH3 NH3 NH4+
Invisible Bioisosteres
N
N
MeO
MeO
N
H Br
N
MeO
MeO
N
H Br
N
EGF-R 2.2 nM EGF-R 7.5 nM
N
MeO
MeO
NH
Br
N
H
O
Me
N
H
O
N
N
H
MeO
MeO
NH
Br
H O
H
H O
Me NH
O
H-bonds can be directly to protein or via water molecules
Optimising Potency
N
N
N
NH2
F
F
O
N
N
Develop understanding of which molecular features are
important for activity – remove substituents.
Look at incorporating new groups for additional potency e.g.
through lipophilic interactions, hydrogen bonds etc.
Functional group bioisosteres.
Use available structural information – e.g. crystal structures of
compound bound to enzyme.
Use of modelling to design/evaluate new targets.
Develop and test hypotheses.
Identify good disconnections/robust chemistry to allow rapid
synthesis of multiple analogues – build up information.
pIC50 7.5
N.B. Potency is one of many properties that needs to be optimised in drug
discovery - need to consider absorption, metabolism, selectivity etc.
NH
N
N
NH2
F
F
O
H
O
N
R
O
H
O
Ar
+ or
How might we improve potency further from this compound?
NH2
F
F NH2
NH
N
O
O
OEt
N
N
H
F
F NH2
NH
OH
OEt
O
N
+
F
F NH
NH2
N
OEt
O
N
N
F
F NH
NH
OEt
O
N
N
F
F NH2
N
OEt
O
Tautomerism
Forward Synthesis - 1
NH2
F
F
N
NH2
F
F N
H
NH
OH
NH2
F
F NH2
NH
N
O
O
OEt N
N
H
F
F NH2
N
O
OEt
i, NH2OH, NaOMe,
methanol, reflux
ii, H2, Raney Ni,
ethanol, 60C
iii, ethanol,
reflux
Forward Synthesis - 2
N
N
H
F
F NH2
N
O
OEt
NH
N
H
F
F NH2
N
N
N
H
F
F NH2
N
O
N
N
O
H
O
N
N
iv, NaOH, H2O,
EtOH, 
v, (COCl)2, CH2Cl2,
then amine, NEt3, CH2Cl2

More Related Content

PPTX
Annotated Lecture 6 - Drug Design Optimizing Target Interactions.pptx
PPTX
13-drug-design-optimizing-target-interactions.pptx
PDF
DRUG TARGET CHEMICAL INTERACTION RECEPTORS
PPTX
Medicinal chemistry Basics
PPT
DR. THIRUMALAI Unit_I_3_leadOptimization.ppt
PDF
Drug design i
PDF
Complexation & protein binding
DOCX
DRUG-DESIGN.docx
Annotated Lecture 6 - Drug Design Optimizing Target Interactions.pptx
13-drug-design-optimizing-target-interactions.pptx
DRUG TARGET CHEMICAL INTERACTION RECEPTORS
Medicinal chemistry Basics
DR. THIRUMALAI Unit_I_3_leadOptimization.ppt
Drug design i
Complexation & protein binding
DRUG-DESIGN.docx

Similar to for drug design and calculations efficiency (20)

PPTX
PHYSICOCHEMCAL PROPERTIES IN RELATION TO DRUG ACTION.pptx
PPTX
UNIT-1.pptx medical chemistry b pharmacy
PDF
Why do drugs look the way they do2
PPTX
Medicinal Chemistry.pptx
PPT
Lead Optimization in Drug Discovery
PPTX
Physico-chemical Properties in Relation of Drug action
PPT
Why Do Drugs Look The Way They Do
PPTX
Drug receptor interactions
PPTX
medicinal chemistry .pptx
PDF
Physico chemical properties of drugs-converted
PPTX
biochemistry ppt 3 by Sohail Riaz.pptx
PPTX
1 lab physico-chemical_properties_of_drugs[1]
PPT
Medicinal chemistry introduction LMS (1).ppt
PPTX
Important Interaction in Drug Receptor Complex And Intro to De Novo Drug Desi...
PDF
Why do drugs look the way they do_Conference Paper.PDF
DOC
Why Do Drugsgargnano
PPT
Molecular modeling in rational drug design
PPTX
opti.pptx
PPTX
Physicochemical Properties of Drug
PHYSICOCHEMCAL PROPERTIES IN RELATION TO DRUG ACTION.pptx
UNIT-1.pptx medical chemistry b pharmacy
Why do drugs look the way they do2
Medicinal Chemistry.pptx
Lead Optimization in Drug Discovery
Physico-chemical Properties in Relation of Drug action
Why Do Drugs Look The Way They Do
Drug receptor interactions
medicinal chemistry .pptx
Physico chemical properties of drugs-converted
biochemistry ppt 3 by Sohail Riaz.pptx
1 lab physico-chemical_properties_of_drugs[1]
Medicinal chemistry introduction LMS (1).ppt
Important Interaction in Drug Receptor Complex And Intro to De Novo Drug Desi...
Why do drugs look the way they do_Conference Paper.PDF
Why Do Drugsgargnano
Molecular modeling in rational drug design
opti.pptx
Physicochemical Properties of Drug
Ad

More from BkesNar (20)

PPTX
for cell biology ----- ----- Lecture 2.pptx
PPTX
Course 3 signal transduction cell signal.pptx
PPTX
Course 4 signal transduction cell signal.pptx
PPTX
Course 2 signal transduction cell signal.pptx
PPTX
Course 1 signal transduction cell signal.pptx
PPTX
Drafting Organizing Fall 2024 GR 555 E.pptx
PPTX
Drafting Organizing Fall 2024 GR 555 E.pptx
PPTX
BIO684 CRacner)fdsjdhhstamble snfirlle ajgge
PPTX
GR 555 E Literature Review Fall 2024.pptx
PPTX
Bioinformatics-3-sequence_analysis_yildiz
PPTX
Bioinformatics-4-yildiz_teknik_universitesi
PPTX
Biyoinformatics-5th_part_yildizteknikuni
PPTX
Biyoinformatik-1-Biyoinformatiğe Giriş.pptx
PDF
The GAPDH redox switch safeguards reductive capacity and enables survival of ...
PDF
Glucose Metabolism in Cancer The Warburg Effect and Beyond.pdf
PDF
Ageing-associated changes in transcriptional elongation influence longevity.pdf
PDF
Janesick-2022-High-resolution-mapping-of-the-brea.pdf
PDF
PIIS109727652300151X.pdf
PDF
Functional neurological restoration of amputated peripheral nerve using biohy...
PDF
Identifying the wide diversity of extraterrestrial purine and pyrimidine nucl...
for cell biology ----- ----- Lecture 2.pptx
Course 3 signal transduction cell signal.pptx
Course 4 signal transduction cell signal.pptx
Course 2 signal transduction cell signal.pptx
Course 1 signal transduction cell signal.pptx
Drafting Organizing Fall 2024 GR 555 E.pptx
Drafting Organizing Fall 2024 GR 555 E.pptx
BIO684 CRacner)fdsjdhhstamble snfirlle ajgge
GR 555 E Literature Review Fall 2024.pptx
Bioinformatics-3-sequence_analysis_yildiz
Bioinformatics-4-yildiz_teknik_universitesi
Biyoinformatics-5th_part_yildizteknikuni
Biyoinformatik-1-Biyoinformatiğe Giriş.pptx
The GAPDH redox switch safeguards reductive capacity and enables survival of ...
Glucose Metabolism in Cancer The Warburg Effect and Beyond.pdf
Ageing-associated changes in transcriptional elongation influence longevity.pdf
Janesick-2022-High-resolution-mapping-of-the-brea.pdf
PIIS109727652300151X.pdf
Functional neurological restoration of amputated peripheral nerve using biohy...
Identifying the wide diversity of extraterrestrial purine and pyrimidine nucl...
Ad

Recently uploaded (20)

PDF
Fun with Grammar (Communicative Activities for the Azar Grammar Series)
PDF
Myanmar Dental Journal, The Journal of the Myanmar Dental Association (2013).pdf
PPTX
4. Diagnosis and treatment planning in RPD.pptx
PPT
REGULATION OF RESPIRATION lecture note 200L [Autosaved]-1-1.ppt
PDF
Laparoscopic Colorectal Surgery at WLH Hospital
PDF
Chevening Scholarship Application and Interview Preparation Guide
PDF
Compact First Student's Book Cambridge Official
PPTX
ACFE CERTIFICATION TRAINING ON LAW.pptx
PDF
Disorder of Endocrine system (1).pdfyyhyyyy
PDF
faiz-khans about Radiotherapy Physics-02.pdf
PDF
anganwadi services for the b.sc nursing and GNM
PDF
Journal of Dental Science - UDMY (2020).pdf
PPTX
Reproductive system-Human anatomy and physiology
PPTX
2025 High Blood Pressure Guideline Slide Set.pptx
PDF
Solved Past paper of Pediatric Health Nursing PHN BS Nursing 5th Semester
PDF
Lecture on Viruses: Structure, Classification, Replication, Effects on Cells,...
PDF
PUBH1000 - Module 6: Global Health Tute Slides
PDF
Farming Based Livelihood Systems English Notes
PPTX
Macbeth play - analysis .pptx english lit
PPTX
PLASMA AND ITS CONSTITUENTS 123.pptx
Fun with Grammar (Communicative Activities for the Azar Grammar Series)
Myanmar Dental Journal, The Journal of the Myanmar Dental Association (2013).pdf
4. Diagnosis and treatment planning in RPD.pptx
REGULATION OF RESPIRATION lecture note 200L [Autosaved]-1-1.ppt
Laparoscopic Colorectal Surgery at WLH Hospital
Chevening Scholarship Application and Interview Preparation Guide
Compact First Student's Book Cambridge Official
ACFE CERTIFICATION TRAINING ON LAW.pptx
Disorder of Endocrine system (1).pdfyyhyyyy
faiz-khans about Radiotherapy Physics-02.pdf
anganwadi services for the b.sc nursing and GNM
Journal of Dental Science - UDMY (2020).pdf
Reproductive system-Human anatomy and physiology
2025 High Blood Pressure Guideline Slide Set.pptx
Solved Past paper of Pediatric Health Nursing PHN BS Nursing 5th Semester
Lecture on Viruses: Structure, Classification, Replication, Effects on Cells,...
PUBH1000 - Module 6: Global Health Tute Slides
Farming Based Livelihood Systems English Notes
Macbeth play - analysis .pptx english lit
PLASMA AND ITS CONSTITUENTS 123.pptx

for drug design and calculations efficiency

  • 1. Advanced Medicinal Advanced Medicinal Chemistry Chemistry Barrie Martin AstraZeneca R&D Charnwood Lecture 3: Lecture 3: Molecular Interactions and Drug Potency
  • 2. Dose-Response Curves Enzyme Inhibitors (competitive): Measure inhibition at differing concentrations of ‘drug’. 10nM 30nM 100nM 300nM 1M % Inhibition 0 50 100 IC50=85nM [Inhibitor] IC50 - The inhibitor concentration that causes a 50% reduction in intrinsic enzyme activity pIC50 = - log10(IC50) IC50 1M = pIC50 6.0 IC50 1nM = pIC50 9.0 Agonists: Measure % Response vs Agonist concentration EC50 - The agonist concentration that causes 50% of the maximum response. pEC50 = - log10(EC50) For a drug, typically target affinity values of pIC50 8 (<10 nM concentration) [Agonist] % Response EC50=85nM Antagonists: Situation more complex. Antagonists displace the agonist dose-response curve rightwards – most accurate measure of potency (pA2) requires measurement of agonist binding at multiple concentrations of antagonist
  • 3. iNOS - An AZ Charnwood Discovery Project Active Site, Haem & Inhibitor N H2 NH NH2 N H O OH N H2 NH NH2 O O OH iNOS + NO Nitric Oxide Synthases – catalyse production of NO from arginine in the body – implicated in inflammatory conditions e.g. rheumatoid arthritis N N N O N N NH2 F F AZ10896372 pIC50 7.5 A potent, selective iNOS inhibitor
  • 4. How Do Drugs Bind to Enzymes & Receptors? Drugs bind to particular sites on enzymes and receptors. In the case of an enzyme, this will often be the active site. Receptors have binding pockets formed between transmembrane helixes where drugs usually bind (not always the agonist’s binding site). These sites are comprised of a variety of amino acid residues which give rise to a specific 3-D shape and molecular features: • Charges: CO2 - , NH3 + , =NH-+ • Polar groups: OH, C=O, CONH • Hydrophobic groups: Ph, Alkyl, SMe In enzymes, reaction centres are also present: • Asp-His-Ser in esterases • SH in some proteases • Metal ions (CYP-450, iNOS). N H O N H N H O O O O O SER S GLU E PHE F N N N N Fe CO2 H HO2C Haem group – iNOS, CYP-450 Small molecules bind to these pockets by a combination of: • Shape complementarity • Energetically favourable interactions
  • 5. Shape Complementarity N H N S N H N H CN N H N NH2 Cimetidine Histamine H2 Receptor Antagonist iNOS Enzyme Inhibitor AZ10896372 Arginine N N + N H NH2 F F H O N N N H2 N + NH2 H NH3+ O O The drug must fit into the Binding Site and shape complementarity is an important feature of a drug molecule. Competitive enzyme inhibitors often bear a resemblance to the substrate, as they bind to the same Active Site. This is also true for some receptor antagonists, but not all. The strength of an interaction depends on the complementarity of the physico-chemical properties of atoms that bind, i.e. protein surface and ligand structure. The ‘Binding Sites’ are not totally rigid. The side chains of the amino acids that make up the pocket have some mobility. A variety of related structures can thus be accommodated by movements that change the shape of the active site. This is known as the ‘Induced Fit Hypothesis’.
  • 6. Drug-Protein Binding Energies K = [P:D] [P] x [D] Both Enthalpy (H) and Entropy (S) changes affect binding strength G=-RTlnK and G=H-TS Gibbs Free Energy Changes [Protein] + [Drug] [P:D] K For a binding Equilibrium between a Protein & a Drug G Drug Protein Drug Protein
  • 7. NB. When a drug moves from the aqueous medium into the ‘Binding Site’ it has to break H-Bonds with water, de-solvate etc. These processes require energy, so the net energy available for binding is only a fraction of the above bond energies. Drug-Protein Interactions Bond Example kJ/mol Van der Waal Xe…Xe, alkyl groups 2 Hydrophobic Ph…Ph (-stacking) 5 Dipole - Dipole C=O…HN-R (+/-)...(+/-) 5 Hydrogen H2O…H2O (X-H) …(Y-R) 35 Ion - Dipole F- …H2O (+/-ve)…(+/-) 170 Ion - Ion H+ …Cl- (+ve)…(-ve) 450 Covalent C-O 350
  • 8. Electrostatic Interactions • These result from the attraction between molecules bearing opposite electronic charges. • Strong ionic interactions can contribute very strongly to binding. • Proteins contain both CO2 - and NH3 + residues and these may be present at the binding site to interact with oppositely charged groups on the drug. Neuraminidase Inhibitor (Antiviral GSK) O O O OH OH O H R R N N N H H H H H ARG - + AZ-10896372 iNOS Inhibitor N N N H O N N F H + N H H O O GLU F • The energies involved in a ‘salt bridge’ can be in the order of >30 kJ/mol • This can lead to increase in observed binding of >106 fold
  • 9. Hydrogen Bonding Interactions A hydrogen bond results when a hydrogen is shared between two electronegative atoms The Donor provides the H, while the Acceptor provides an electron pair D-X-H….Y-A e.g. R-O-H…..O=C N N N O N N F H + N H H O H N H O N H H O H H O OH O OH O O R R H H O O GLU AZ10896372 - iNOS complex Amide to Tyrosine H-Bond Neuraminidase Inhibitor Charge re-inforced H-Bond
  • 10. Hydrophobic Interactions • Drugs, in general, are hydrophobic molecules • The ‘Binding Sites’ of proteins are also hydrophobic in character • Thus a mutual attraction can result (like attracts like). • What drives this attraction? • Each -(CH2)- group can contribute >1 kJ/mol towards binding • Each -Ph ring can contribute >2 kJ/mol towards binding • These effects are additive and hence Hydrophobic Bonding can make a very high contribution to binding • Entropy gains are achieved when water molecules are displaced from ‘active site’, and return to a more random (high S) state. • Enthalpy gains may result from van der Waals bonding: • Between Alkyl, Aryl, Halogen groups • Stacking is an important type of this
  • 11. Hydrophobic Bonding : Entropy Water molecules are in a highly disordered state. Each molecule maximises H-Bonds to other molecules of water. When a hydrophobic drug is placed into water, the structure of the water around the drug is more ordered. This allows the H2O-H2O H-bonds to be maintained. This leads to lower entropy and is not favoured.
  • 12. Hydrophobic Bonding : Entropy D E • Hydrophobic interaction between protein and drug is favoured by entropy gains: • Bulk water returns to less ordered state • Water molecules may be expelled from being bound in active site. • In addition enthalpy gains due to new bonds may also be favourable (e.g. van der Waals interactions) D E
  • 13. Probing Hydrophobicity in Drug Discovery NH N H NH2 R F F New iNOS lead identified: R =Me, small lipophilic substituent iNOS pIC50 7.8 Aim: Probe lipophilic pocket – what else could we put there? How would we make it? NH2 NH2 NH F F R O
  • 14. Effect of Hydrophobicity on Activity Binding into Lipophilic pocket of iNOS NH N H NH2 R F F R cLogP IC50 M Me 1.13 0.016 Et 1.66 0.009 CF3 1.75 0.008 Thiophene 2.02 0.003 Phenyl 2.34 0.015 2-Me-Thiophene 2.48 0.026 cLogP 7.6 7.8 8 8.2 8.4 8.6 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 iNOS_pIC50 Too big to fit in pocket optimally (Shape complementarity)
  • 15. Bioisosteres Isostere: Similarities in physicochemical props. of atoms/groups/molecules with similar electronic structures (no. and arrangement of electrons in outermost shell). Often observed with groups in the same periodic table column (Cl  Br, C  Si). Grimm – Hydride Displacement Law (1925) - Replacement of chemical groups by shifting one column to the right & adding H. Bioisostere: Simplest definition - any group replacement which improves the molecule in some way Two different interchangeable functionalities which retain biological activity. Bioisosteric replacements can offer improvements both in potency and other properties (e.g. metabolic stability, absorption) O O N N N N N O S O O - - Carboxylic acid & bioisosteres O S O N H N H N N S N H O O -CH2 & bioisosteres amide & bioisosteres C N O F Ne Na+ CH NH OH FH CH2 NH2 OH2 FH2 + CH3 NH3 NH4+
  • 16. Invisible Bioisosteres N N MeO MeO N H Br N MeO MeO N H Br N EGF-R 2.2 nM EGF-R 7.5 nM N MeO MeO NH Br N H O Me N H O N N H MeO MeO NH Br H O H H O Me NH O H-bonds can be directly to protein or via water molecules
  • 17. Optimising Potency N N N NH2 F F O N N Develop understanding of which molecular features are important for activity – remove substituents. Look at incorporating new groups for additional potency e.g. through lipophilic interactions, hydrogen bonds etc. Functional group bioisosteres. Use available structural information – e.g. crystal structures of compound bound to enzyme. Use of modelling to design/evaluate new targets. Develop and test hypotheses. Identify good disconnections/robust chemistry to allow rapid synthesis of multiple analogues – build up information. pIC50 7.5 N.B. Potency is one of many properties that needs to be optimised in drug discovery - need to consider absorption, metabolism, selectivity etc. NH N N NH2 F F O H O N R O H O Ar + or How might we improve potency further from this compound?
  • 18. NH2 F F NH2 NH N O O OEt N N H F F NH2 NH OH OEt O N + F F NH NH2 N OEt O N N F F NH NH OEt O N N F F NH2 N OEt O Tautomerism Forward Synthesis - 1 NH2 F F N NH2 F F N H NH OH NH2 F F NH2 NH N O O OEt N N H F F NH2 N O OEt i, NH2OH, NaOMe, methanol, reflux ii, H2, Raney Ni, ethanol, 60C iii, ethanol, reflux
  • 19. Forward Synthesis - 2 N N H F F NH2 N O OEt NH N H F F NH2 N N N H F F NH2 N O N N O H O N N iv, NaOH, H2O, EtOH,  v, (COCl)2, CH2Cl2, then amine, NEt3, CH2Cl2

Editor's Notes

  • #2: Competitive enzyme inhibitors compete with the natural substrate for the active site. As the concentration of inhibitor increases, the rate of reaction decreases and the % inhibition increases. IC50 typically used as a measure of inhibitor affinity, concentration at which the 50% enzyme inhibition is achieved. Commonly use a pIC50 scale (negative log of the IC50). IC50 of 1nM = 0.000000001M, log IC50 = -9, pIC50 = 9 For agonists, measure % of maximal response against increasing concentrations of agonist. EC50 (concentration at which 50% maximal response is achieved) and pEC50 used. Antagonists – shift the agonist dose-response curve to the right (i.e. greater concentration of agonist required to achieve response).
  • #3: iNOS (inducible Nitric Oxide Synthase) project carried out at AZ Charnwood. Catalyses formation of NO from arginine – thought to be implicated in inflammatory conditions (iNOS overexpressed in a number of diseases) Enzyme inhibitor program run and a series of dihydroaminoquinazoline compounds identified, AZ10896372 is a representative example.
  • #4: Drugs bind to particular sites on enzymes and receptors. For competitive enzyme inhibitors, this will be the active site. For GPCRs, antagonists often bind in binding pockets formed between the transmembrane helixes. These sites are comprised of a varietyof amino acid residues which giverise to a specific 3D shape and possess molecular features which may be charged (e.g. aspartic acid), polar neutral (e.g. serine) or lipophilic (e.g. valine, phenylalanine). With enzymes, reaction centres are also present. Some examples of groups involved in catalysing the enzyme reaction may be available for binding to an inhibitor: Asp-His-Ser in esterases SH in some proteases Metal ions (CYP-450, iNOS) Small molecules bind to these sites by a combination of shape complementarity and energetically favourable interactions.
  • #5: The drug must fit into the Binding Site and Shape Complementarity is an important feature of a drug molecule. Competitive enzyme inhibitors often bear a resemblance to the substrate, as they bind to the same Active Site. This is also true for some receptor antagonists, but not all. The strength of an interaction depends on the complementarity of the physico-chemical properties of atoms that bind, i.e. protein surface and ligand structure. The ‘Binding Sites’ are not totally rigid. The side chains of the amino acids that make up the pocket have some mobility. A variety of related structures can thus be accommodated by movements that change the shape of the active site. This is known as the ‘Induced Fit Hypothesis’. Examples: iNOS enzyme inhibitor mimics amidine functionality present in arginine. Cimetidine – H2 receptor antagonist (Used for the treatment of gastric ulcers, GERD). Resemblance to natural agonist histamine, but prevents production of stomach acid.
  • #6: When thinking about the energetically favourable reversible interactions between a drug and a protein, we need to think about this as an equilibrium process between free drug, protein and drug/protein complex. This equilibrium process is described by K, the equilibrium constant, where: K = [drug:protein complex] [drug] x [protein] The efficacy of a drug depends on the position of this equilibrium. The larger that K is, the more is bound & the more effective the drug will be. However, K is also related to G, the change in Gibbs free energy, by the equation shown, and G = H – TS. As a result the equilibrium constant K, the degree of drug: protein binding and hence any biological effect, is dependent on changes in both enthalpy (H) and entropy (S).
  • #7: Examples of different types of molecular interactions that can arise between drugs and proteins and some typical values. N.B. Although electrostatic interactions can contribute considerably to binding energies, when a drug moves from the aqueous medium into the binding site it has to break H-bonds with water, de-solvate. These processes require energy so the net energy available for binding can be only a fraction of the above energies.
  • #8: Examples of electrostatic interactions iNOS inhibitor: Attraction between basic dihydroaminoquinazoline group (positively charged) and glutamic acid residue (negatively charged) present in active site. Neuraminidase inhibitor: Interaction between negatively charged acidic group on drug and positively charged arginine side-chain.
  • #9: Examples of Hydrogen bonding interactions iNOS inhibitor: Hydrogen bonds formed between tyrosine O-H and amide carbonyl O, and between N-H and water molecule present in active site. Neuraminidase inhibitor: Charge re-inforced hydrogen bond formed between two O-H groups and glutamate residue.
  • #10: Many compounds synthesised during the drug discovery process are typically hydrophobic molecules. Binding sites of proteins are often also hydrophobic in character and hydrophobic interactions can form a significant contribution to drug-protein interactions Enthalpy contributions arise from van der Waals bonding between e.g. alkyl, aryl groups and from  interactions between aromatic rings. Entropy gains are achieved when water molecules are displaced from the active site and return to a more random (high entropy state – i.e. S increases)
  • #11: Hydrophobic effect 1
  • #12: Hydrophobic effect 2
  • #13: Probing Hydrophobicity in drug discovery – iNOS example A new iNOS lead is discovered where the R group is a methyl. The compound has good potency pIC50 = 7.8 Methyl = small, lipophilic substituent We decided to explore this region further – what else could we put there?
  • #14: Effect of hydrophobicity on activity – iNOS example
  • #15: Chemical isosterism – Langmuir (1919) Similarities in physicochemical properties of atoms/groups/molecules with similar electronic structures, most often observed with atoms in the same column of the periodic table. Grimm – Hydride Displacement (1925) Isosteric groups formed by displacing one place to the right in the periodic table and adding H (e.g. O vs NH vs CH2) Bioisosteres: Interchangeable functionalities which retain biological activity Pharmacophoric bioisosterism – different functionalities which have similar interactions with a target protein e.g. CO2H & tetrazole or acyl sulfonamide. Template bioisosterism – replacements which do not have a specific interaction with the target but act as spacer groups which orientate the pharmacophoric elements e.g. -CH2- & -O- or -S-
  • #16: Further example of bioisosterism - quinazoline to cyanoquinoline switch EGF-R (Epidermal Growth Factor Receptor - involvement in uncontrolled cell proliferation and cancer target) Original nitrogen group bound to threonine residue via water molecule, replacement with CH (unsubsituted quinoline) gave significant loss in activity. Postulated that replacement with nitrile would allow direct interaction with protein and maintain activity Ref. J. Med. Chem., 2000, 43, 3244. (Inhibitors of EGF-R Kinase)
  • #17: Identify pharmacophore - the molecular framework that carries the essential features responsible for a drug’s activity Incorporation of new chemical groups/variation of substituents to introduce additional interactions with receptor. Where available make use of structural information to guide target design. Identification of late stage intermediates suitable for late stage diversification key, requires good chemical disconnections & synthetic routes to targets.
  • #18: Forward Synthesis of AZ10896372 Conversion of nitrile into amidine achieved over 2 steps – nucleophilic attack of hydroxylamine on the nitrile followed by hydrogenolysis of the N-O bond of the intermediate hydroxyamidine. Tricyclic system formed by reaction of ortho-anilinoamidine with protected ketopiperidine.
  • #19: Removal of the carbamate protecting group under basic conditions gave the secondary amine. Coupling of amine with 6-cyano-3-pyridinecarboxylic acid achieved via activation of the acid with oxalyl chloride in dichloromethane followed by reaction with the resultant acid chloride with the amine in the presence of excess base (triethylamine). Ref. J. Med. Chem., 2003, 46, 913-916.