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    Molecular Conceptor - Table of Contents

    Practical Drug Discovery: Case StudiesLast updated on September 2012

    A - DRUG DISCOVERY

    1. Case Studies in SAR Analyses

    2. Success Stories in Drug Discovery

    B - ANALOG DESIGN AND MOLECULAR MIMICRY

    1. Case Studies in Advanced Analog Design

    2. Case Studies in 3D Mimic Design

    3. Case Studies in Peptidomimetics

    C - SYNTHESIS AND LIBRARY DESIGN

    1. Case Studies in Library Design

    D - ADME PROPERTIES AND PREDICTIONS

    1. Case Studies in ADME/Tox Predictions

    E - STRUCTURE-BASED DESIGN

    1. Case Studies in Structure-Based Design

    2. Case Studies of Docking in Drug Discovery

    F - CHEMINFORMATICS

    1. Case Studies in 3D Database Searching

    G - LIGAND-BASED DESIGN

    1. Case Studies in Ligand-Based Design

    H - QSAR AND CHEMOMETRICS

    1. Case Studies in QSAR and 3D-QSAR

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    A. DRUG DISCOVERY

    A1. CASE STUDIES IN SAR ANALYSES

    A1.1 Case Study-1 : Banyu Example

    A1.1.1 The Banyu Story with the Urea Structure

    A1.1.2 Importance of the Entire Urea Moiety

    A1.1.3 Bioactive Conformation?

    A1.1.4 Design of Compounds with a Cis Conformation

    A1.1.5 Good Exploitation of the SAR Analyses

    A1.2 Case Study-2 : Dioxobenzothiazole Example

    A1.2.1 The Dioxobenzothiazole Scaffold

    A1.2.2 Optimization of the Dioxobenzothiazole Lead

    A1.2.3 SAR Analyses

    A1.2.4 Docking of the Dioxobenzothiazole Molecule

    A1.2.5 Being Trapped with a Bad Scaffold

    A1.3 Case Study-3 : EGF-R Kinase Inhibitors

    A1.3.1 Therapeutic Utility of EGF-R Kinase Inhibitors

    A1.3.2 Amino-4 Quinazoline Inhibitors: Iressa and Tarceva

    A1.3.3 Analysis of Tarceva Binding to the EGF-R Kinase (1/4)

    A1.3.4 Analysis of Tarceva Binding to the EGF-R Kinase (2/4)

    A1.3.5 Analysis of Tarceva Binding to the EGF-R Kinase (3/4)

    A1.3.6 Analysis of Tarceva Binding to the EGF-R Kinase (4/4)

    A1.3.7 SAR of the Quinazoline Scaffold

    A1.3.8 SAR of Fused Rings in the Quinazoline Scaffold

    A1.3.9 Analysis of a Surprising Observation

    A1.3.10 Analysis of Atomic Charges in the Different Analogs

    A1.3.11 Optimal Binding of Inhibitor 17

    A1.4 Case Study-4 : Nifedipine Example

    A1.4.1 Two Inactive Analogs of Nifedipine

    A1.4.2 Analysis of the 4' Substituted Analogs of Nifedipine

    A1.4.3 Analysis of the 4 Substituted Analogs of Nifedipine

    A1.4.4 Molecular Geometry of Phenyl-4 Dihydropyridine

    A1.4.5 Preferred Conformation of Nifedipine

    A1.4.6 Preferred Conformation of Methyl-4 Nifedipine

    A1.4.7 Bioactive Conformation of Nifedipine-Like Antagonists A1.4.8 SAR Analyses Require Great Attention

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    A1.7 Case Study-7 : Anilino-Quinazoline Example

    A1.7.1 Potent Inhibitor of the EGF-R Protein Kinase

    A1.7.2 SAR: Substitution of Anilino N4

    A1.7.3 N-Methyl Analog A1.7.4 SAR Observations in a 4-Anilino-Quinazolines Series

    A1.7.5 Conformation of 4-Anilino-Quinazoline Molecules

    A1.7.6 Geometry of 4-Anilino-Quinazoline Structures

    A1.7.7 Experimental Conformations of Anilino-Quinazolines

    A1.7.8 SAR: Substitution of N4 is Detrimental to Potency

    A1.7.9 Torsion Angle N3-C4-N4-C1' is Important for Potency

    A1.7.10 Energy of Bioactive Conformers

    A1.7.11 Browser of Selected Anilino-Quinazoline Analogs

    A1.7.12 Docking of 4-Anilino-Quinazoline Lead

    A1.7.13 Summary of Structural Analyses

    A1.8 ADDITIONAL CASE STUDIES

    A1.8.1 Additional Case Studies

    A2. SUCCESS STORIES IN DRUG DISCOVERY

    A2.1 Success Story-1 : Captopril

    A2.1.1 Captopril

    A2.1.2 Captopril Target - ACE

    A2.1.3 Starting Point: Venom Causes Drop in Blood Pressure

    A2.1.4 Snake Venom Acts on the ACE Cascade

    A2.1.5 The Captopril Story

    A2.1.6 Developing an Assay for ACE

    A2.1.7 Isolating and Purifying the Venom Peptides

    A2.1.8 Encouraging Clinical Trial Results

    A2.1.9 Project Virtually Abandoned at Squibb

    A2.1.10 Back to the Project

    A2.1.11 Applying the Concepts to ACE

    A2.1.12 The Basis of ACE and CPA Similarity

    A2.1.13 X-ray Structure of CPA

    A2.1.14 Modeling the Active Site of ACE (1/4)

    A2.1.15 Modeling the Active Site of ACE (2/4)

    A2.1.16 Modeling the Active Site of ACE (3/4)

    A2.1.17 Modeling the Active Site of ACE (4/4)

    A2.1.18 Design of a Novel ACE Inhibitor

    A2.1.19 The Phe-Ala-Pro Pharmacophore

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    A2.1.20 Finding a Lead Compound

    A2.1.21 The Discovery of Captopril

    A2.1.22 The Captopril Project Timeline

    A2.1.23 What Made the Success of the Project Possible?

    A2.1.24 Structure-Based Component A2.1.25 Ligand-Based Component

    A2.1.26 Following the Discovery

    A2.1.27 Recent Structure of Captopril-ACE Complex

    A2.1.28 Other Drugs in This Class

    A2.2 Success Story-2 : Aliskiren

    A2.2.1 Aliskiren

    A2.2.2 Aliskiren Target - Renin

    A2.2.3 Starting Point

    A2.2.4 The Aliskiren Story A2.2.5 The First Generation of Renin Inhibitors

    A2.2.6 The Second Generation of Renin Inhibitors

    A2.2.7 Peptidomimetic Approach was Unsuccessful

    A2.2.8 The Need for a New Non-Peptidic Scaffold

    A2.2.9 Novartis's New Rational Approach

    A2.2.10 3D Model of the Enzyme

    A2.2.11 Predicting the Bioactive Conformation of CGP38560

    A2.2.12 The Design Strategy

    A2.2.13 Finding a Feasible Scaffold

    A2.2.14 Criteria for Good Candidate Molecules A2.2.15 The Parallel Design of Non-Peptide Renin Inhibitors

    A2.2.16 The THQ Series

    A2.2.17 Validation of the Design Strategy

    A2.2.18 The Phenoxy Series

    A2.2.19 Optimization of the Phenoxy Lead

    A2.2.20 The Indole Series

    A2.2.21 The Salicylamide Series

    A2.2.22 A Docking Experiment

    A2.2.23 Design of the Salicylamide Molecule

    A2.2.24 Transferrable SAR's A2.2.25 Example of Transferrable SAR's

    A2.2.26 Four Unrelated Lead Compounds

    A2.2.27 Browser of the Novartis Renin Inhibitor Leads

    A2.2.28 From Initial Lead to Aliskiren

    A2.2.29 The Aliskiren Project Timeline

    A2.2.30 What Made the Success of the Project Possible?

    A2.2.31 The Incorporation of Modeling

    A2.2.32 Modeling - The Key to Aliskiren's Success

    A2.2.33 Historical Document

    A2.2.34 Good Teamwork A2.2.35 Following the Discovery

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    A2.2.36 X-rays of Complex with CGP38560

    A2.2.37 X-ray Determination of Lead Inhibitors

    A2.2.38 The Indole X-ray

    A2.2.39 The S3sp sub-Pocket

    A2.2.40 Other Work on Drugs in this Class

    B. ANALOG DESIGN AND MOLECULAR MIMICRY

    B1. CASE STUDIES IN ADVANCED ANALOG DESIGN

    B1.1 Case Study-1 : Salicylanilides

    B1.1.1 Salicylanilides

    B1.1.2 Genistein Structure and Alignment with Quinazoline 1

    B1.1.3 3D Design of a Salicylanilide Scaffold

    B1.1.4 Possible Intramolecular H-Bonds in Salicylanilides

    B1.1.5 Synthesis of the Molecules

    B1.1.6 Biological Assays

    B1.1.7 Validity of the Hypotheses

    B1.1.8 Summary

    B1.2 Case Study-2 : Pyrimidin-4-yl-ureas

    B1.2.1 Pyrimidin-4-yl-ureas

    B1.2.2 PD-166285 Reference and Novartis Design

    B1.2.3 A Search in the Cambridge Structural Database

    B1.2.4 Ab-Initio Calculations

    B1.2.5 Synthesis of the Prototype Molecule

    B1.2.6 Biological Assays for Pyrimidin-4-yl-urea

    B1.2.7 Docking of Pyrimidin-4-yl-urea in c-Abl

    B1.2.8 Correlation of the Activities with Size of Gate Keeper

    B1.2.9 Alignment of Pyrimidin-4-yl urea and PD-166285

    B1.2.10 P&G Discovered Independently the Same Molecule

    B1.2.11 Optimization Towards Lck Kinase Inhibition

    B1.2.12 Summary

    B1.3 Case Study-3 : Anthranilamide Scaffold

    B1.3.1 Anthranilamide Scaffold

    B1.3.2 Structural Determinants of Anilinophtalazine Activity ?

    B1.3.3 Conformational Analyses

    B1.3.4 Bidentate Binding Mode Unlikely to Occur

    B1.3.5 Role of the Nitrogen Phtalazine Atoms

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    B1.3.6 Database Searching

    B1.3.7 3D Electrostatic Potential

    B1.3.8 Synthesis of the Exact Anthranilamide Mimetic

    B1.3.9 Biological Tests

    B1.3.10 3D Overlay of Mimic Structures B1.3.11 Determinants for Anilinophtalazine KDR/Flt-1 Activities

    B1.3.12 Summary

    B1.4 Case Study-4 : Phenoxyphenyltriazoles

    B1.4.1 Phenoxyphenyltriazoles

    B1.4.2 Requirements for Binding to the BZD Receptor

    B1.4.3 Design of an Estazolam Mimic

    B1.4.4 Conformational Analyses and Overlay with Diazepam

    B1.4.5 Chemical Synthesis of the Mimics

    B1.4.6 Confirmation of the Design Hypothesis B1.4.7 Summary

    B1.5 Case Study-5 : Pro-Leu-Gly-NH2 Peptide

    B1.5.1 Pro-Leu-Gly-NH2 Peptide

    B1.5.2 The -Lactam Analog of Pro-Leu-Gly-NH2

    B1.5.3 Design of Imidazolidinone and Diketopiperazine

    B1.5.4 Biological Tests

    B1.5.5 3D Alignment of Pro-Leu-Gly-NH2 and Mimics

    B1.5.6 Summary

    B1.6 Case Study-6 : Remoxipride Mimic

    B1.6.1 Remoxipride Mimic

    B1.6.2 Bioactive Conformation of Desmethylremoxipride

    B1.6.3 Design of Rigid Analog

    B1.6.4 Chemical Synthesis

    B1.6.5 Biological Tests

    B1.6.6 3D Alignments

    B1.6.7 Summary

    B1.7 Case Study-7 : Rimonabant Mimics

    B1.7.1 Rimonabant Mimic

    B1.7.2 Conformational Analysis of Rimonabant

    B1.7.3 Design of Rigid Analog

    B1.7.4 Chemical Synthesis

    B1.7.5 Biological Tests

    B1.7.6 3D Alignment of Rimonabant and Mimic

    B1.7.7 Summary

    B1.8 Case Study-8 : Salicylamide Mimics

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    B1.8.1 Salicylamide Mimics

    B1.8.2 SAR of Salicylamide 1

    B1.8.3 Removing the Hydroxyl or the Carbonyl

    B1.8.4 Analyzing if Ortho Electron Lone-Pair is Sufficient

    B1.8.5 Potent Inhibition at Ki at Different pH B1.8.6 Pseudo-Ring of 1 Binds as a Whole Unit

    B1.8.7 Design of Quinazoline Mimic

    B1.8.8 3D Alignment of Salicylamide 1 and Quinazoiline 2

    B1.8.9 Conclusion

    B1.8.10 Summary

    B1.9 Case Study-9 : Bradykinin Antagonists

    B1.9.1 Bradykinin Antagonists

    B1.9.2 The Problem

    B1.9.3 The Stepwise Discovery of Cyclopropylamide B1.9.4 Retaining the two N-H groups

    B1.9.5 Mimicking the Nitrogen Pyridine Atom by a Carbonyl

    B1.9.6 Conformational Considerations

    B1.9.7 First Molecules Synthesized

    B1.9.8 Restoring Lipophilic Interactions

    B1.9.9 Reducing Ring Size

    B1.9.10 The Best Replacement

    B1.9.11 Additional Factors in Cyclopropyl Replacement

    B1.9.12 Torsion Angle N-C-C-N

    B1.9.13 Smaller Rings have Increasing Character B1.9.14 Ring Strain and Geometry of Cyclopropyl

    B1.9.15 Bulkiness of the Hydrophobic Ring

    B1.9.16 3D Alignment of 1 and the Cyclopropyl Surrogate

    B1.9.17 Summary

    B1.9.18 Factor Xa Inhibitors

    B1.9.19 Factor Xa Inhibitors with 2,3-Diaminopyridine Core

    B1.9.20 Replacement May be of General Utility

    B1.9.21 Surrogates Generated by Computer

    B1.10 ADDITIONAL CASE STUDIES

    B1.10.1 Additional Case Studies

    B2. CASE STUDIES IN 3D MIMIC DESIGN

    B2.1 Case Study-1 : Cimetidine Mimicry

    B2.1.1 Two Very Different H2-Antagonists

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    B2.1.2 Cimetidine has a Folded Conformation

    B2.1.3 3D Mimicry between Cimetidine and Triazole

    B2.2 Case Study-2 : Substance P Antagonists

    B2.2.1 Substance P : a Ligand of CNS Receptors

    B2.2.2 Conformation of Substance P

    B2.2.3 Template for Mimicking the Phe-Phe Moiety

    B2.2.4 The Successful Discovery of SP Antagonists

    B2.2.5 A Phe-Phe Mimic of Substance P

    B2.2.6 Mimicry of CGP-47899 and Substance P

    B2.3 Case Study-3 : Hypolipemic Agents

    B2.3.1 Reference Set of Hypolipemic Agents

    B2.3.2 Design of a New Hypolipemic Agent

    B2.3.3 RU 25961 is a 3D Mimic of Treloxinate

    B2.3.4 Browser of Hypolipemic Agents

    B2.3.5 Methyl Treloxinate

    B2.3.6 Biological Activities of Cis and Trans Isomers

    B2.3.7 Browser of Hypolipemic Agents

    B2.4 Case Study-4 : Polymerase-1 Inhibitors

    B2.4.1 Therapeutic utility of PARP-1 Inhibitors

    B2.4.2 3-Amino Benzamide PARP-1 Inhibitor

    B2.4.3 Design with Carboxamide Geometry Locked B2.4.4 3D Mimicry between Structure C and NU-1085

    B2.4.5 Synthesis of the Designed Tricyclic Compounds

    B2.4.6 Validation of the Concept by X-Ray Crystallography

    B2.4.7 Browser of PARP-1 Inhibitors

    B2.5 Case Study-5 : Angiotensin-II Antagonists

    B2.5.1 Antagonists of Angiotensin-II Receptors

    B2.5.2 Losartan as a Mimic of Angiotensin-II (1/5)

    B2.5.3 Losartan as a Mimic of Angiotensin-II (2/5)

    B2.5.4 Losartan as a Mimic of Angiotensin-II (3/5)

    B2.5.5 Losartan as a Mimic of Angiotensin-II (4/5)

    B2.5.6 Losartan as a Mimic of Angiotensin-II (5/5)

    B2.5.7 Browser of Angiotensin-II Antagonists

    B2.6 Case Study-6 : Cholecystokinin Receptor Ligands

    B2.6.1 Design of Cholecystokinin Receptor Ligands

    B2.6.2 Pharmacophore Analysis: CCK-A Antagonists (1/3)

    B2.6.3 Pharmacophore Analysis: CCK-A Antagonists (2/3)

    B2.6.4 Pharmacophore Analysis: CCK-A Antagonists (3/3)

    B2.6.5 Design of a New Lorglumide Analog

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    B2.7 Case Study-7 : Farnesyltransferase Inhibitors

    B2.7.1 Farnesyltransferase, a Target in Oncology

    B2.7.2 X-ray Structure of FTase with a Tetrapeptide

    B2.7.3 Binding Interactions of CAAX Substrate for FTase B2.7.4 4-Aminobenzoic Spacer to Replace Val-Ile Dipeptide

    B2.7.5 Superposition with X-Ray Structure of Initial Tripeptide

    B2.7.6 The Simple Aromatic Central Ring is not Sufficient

    B2.7.7 Analogs with Significantly Enhanced Potency

    B2.7.8 3D Mimicry of FTI-276 and Reference Tetrapeptide

    B2.7.9 Docking of FTI-276 and Reference Tetrapeptide

    B2.7.10 Terphenyl to Replace the Central Val-Ile Dipeptide

    B2.7.11 Alignment of FTI-289 with Cys-Val-Ile-Met

    B2.7.12 Potent and Selective Farnesyltransferase Inhibitor

    B2.7.13 X-ray of Abbott-21 bound to Farnesyltransferase

    B2.7.14 Browser of Farnesyltransferase Inhibitors

    B2.8 Case Study-8 : Antagonists of the Mdm2-p53 Interaction

    B2.8.1 Antagonists of the Mdm2-p53 Interaction

    B2.8.2 Mdm2 Bound to p53 Transactivation Domain (1/4)

    B2.8.3 Mdm2 Bound to p53 Transactivation Domain (2/4)

    B2.8.4 Mdm2 Bound to p53 Transactivation Domain (3/4)

    B2.8.5 Mdm2 Bound to p53 Transactivation Domain (4/4)

    B2.8.6 Systematic SAR Studies

    B2.8.7 Contribution of the Amino-Acids to the Binding B2.8.8 3D Structure of the Pharmacophore

    B2.8.9 The Novartis 5 nM Peptide-Like Antagonist

    B2.8.10 Peptide 2 Designed to Stabilize Helical Conformations

    B2.8.11 Peptide 3 Designed for a Salt Bridge with a Tyrosine

    B2.8.12 Filling Empty Space Identified by Modeling

    B2.8.13 Problems with the Peptide-Based Antagonists

    B2.8.14 The Bicyclo [2.2.1]-Heptane Scaffold

    B2.8.15 Designed Scaffold Aligned with the Pharmacophore

    B2.9 ADDITIONAL CASE STUDIES

    B2.9.1 Additional Case Studies

    B3. CASE STUDIES IN PEPTIDOMIMETICS

    B3.1 Case Study-1 : Somatostatin Mimicry

    B3.1.1 Somatostatin Structure

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    B3.1.2 Somatostatin Receptors

    B3.1.3 Subtypes of Somatostatin Receptors

    B3.1.4 The Drug Discovery Strategy

    B3.1.5 The Somatostatin Pharmacophore

    B3.1.6 Successful Reduction of the Somatostatin B3.1.7 Mimics of L-363,377 with Database Searching

    B3.1.8 Results of the Database Searching

    B3.1.9 A Good Mimic of the Reference Cyclic Peptide

    B3.1.10 Development of a Combinatorial Chemistry Approach

    B3.1.11 Combinatorial Chemistry Results

    B3.1.12 An Integrated Approach to Drug Discovery

    B3.2 Case Study-2 : -Opioid Receptor Agonists

    B3.2.1 Therapeutic utility of-Opioid Receptor Agonists

    B3.2.2 Typical Peptide -Opioid Receptor Agonists B3.2.3 Typical Non-Peptide -Opioid Receptor Agonists

    B3.2.4 Pharmacophore for -Opioid Receptor Agonists

    B3.2.5 SAR, NMR and Modeling of the DPDPE series (1/3)

    B3.2.6 SAR, NMR and Modeling of the DPDPE series (2/3)

    B3.2.7 SAR, NMR and Modeling of the DPDPE series (3/3)

    B3.2.8 Bioactive Conformation of DPDPE (1/4)

    B3.2.9 Bioactive Conformation of DPDPE (2/4)

    B3.2.10 Bioactive Conformation of DPDPE (3/4)

    B3.2.11 Bioactive Conformation of DPDPE (4/4)

    B3.2.12 Scaffold Design of Non-Peptide Antagonists B3.2.13 Refinement of the Scaffold and Substituents

    B3.2.14 Amino Group not Included

    B3.2.15 Reducing the Number of Chiral Centers

    B3.2.16 Substituent with Variable Hydrophobicity

    B3.2.17 The First Series Synthesized

    B3.2.18 The (-) SL-3111 Enantiomer

    B3.3 Case Study-3 : MC4R Melanocortin Receptor Agonists

    B3.3.1 Melanocortin Receptors

    B3.3.2 Minimal Peptide Sequence for Activating the Receptor

    B3.3.3 Strategy for the Design of New Agonists

    B3.3.4 Cyclic Peptide 1

    B3.3.5 Molecular Geometry of the Cyclic Peptide

    B3.3.6 Design of Molecules with a Cyclohexane Core

    B3.3.7 Acyl Groups to Keep the Compound Neutral

    B3.3.8 Cis and Trans Cyclohexane Isomers

    B3.3.9 Cis Isomer

    B3.3.10 Trans Isomer

    B3.3.11 Geometry of Cis Isomer with Tryptamine Equatorial

    B3.3.12 Geometry of Cis Isomer with Tryptamine Axial

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    B3.3.13 Geometry of Trans Isomer: Substituents Equatorial

    B3.3.14 Cis Isomer Equatorial Aligned with Peptidic Agonist

    B3.3.15 Cis Isomer Axial Aligned with Peptidic Agonist

    B3.3.16 Trans Isomer Aligned with Peptidic Agonist

    B3.3.17 Discovery of a Nanomolar Non-Peptidic Agonist B3.3.18 A Good Starting Point for Further Developments

    B3.4 Case Study-4 : Renin Inhibitors

    B3.4.1 The Renin-Angiotensin System Cascade

    B3.4.2 The First Generation of Renin Inhibitors

    B3.4.3 Example of Inhibitor

    B3.4.4 The Second Generation of Renin Inhibitors

    B3.4.5 Low Oral Absorption of CGP-38560

    B3.4.6 Bioactive Conformation of CGP-38560

    B3.4.7 Analysis of the Predicted Bioactive Conformation B3.4.8 Strategy for the Design of Non-Peptidic Inhibitors

    B3.4.9 Successful Design of a Non-Peptidic Inhibitor

    B3.4.10 Optimization of the Tetrahydroquinoline Inhibitor

    B3.4.11 A Third Generation of Renin Inhibitors

    B3.4.12 Alignment of the Non-Peptide Inhibitors in 3D

    B3.5 Case Study-5 : Inhibitors of HLE

    B3.5.1 Inhibition of Human Leukocyte Elastase

    B3.5.2 Problem of Peptide-Based ICI-200,880

    B3.5.3 TFMK as a Reference

    B3.5.4 Analysis of the Binding of TFMK (1/4)

    B3.5.5 Analysis of the Binding of TFMK (2/4)

    B3.5.6 Analysis of the Binding of TFMK (3/4)

    B3.5.7 Analysis of the Binding of TFMK (4/4)

    B3.5.8 Summary of the Analyses

    B3.5.9 Design of a New Pyridone Framework

    B3.5.10 3D Superimposition with TFMK

    B3.5.11 Synthesis of Pyridone Molecule

    B3.5.12 3D Geometry Maintained after Removal of Proline

    B3.5.13 Analysis of the Pyridone Bound to PPE

    B3.5.14 Optimization of the Pyridone Series

    B3.5.15 Browser of HLE Inhibitors

    B3.6 ADDITIONAL CASE STUDIES

    B3.6.1 Additional Case Studies

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    C. SYNTHESIS AND LIBRARY DESIGN

    C1. CASE STUDIES IN LIBRARY DESIGN

    C1.1 Case Study-1 : CDK2 Inhibitors

    C1.1.1 Purine Scaffold as a Source of Bioactive Molecules

    C1.1.2 CDK2 Biological Target and Known Inhibitors

    C1.1.3 Diverse 2,6,9-trisubstituted Purine Libraries

    C1.1.4 Substituent Design

    C1.1.5 Additivity of the Biological Effects

    C1.1.6 Browser of Substituents at the C-2 Position

    C1.1.7 Browser of Substituents at the C-6 Position

    C1.1.8 Successive Rounds

    C1.1.9 Library Results

    C1.2 Case Study-2 : DHFR Inhibitors

    C1.2.1 Diaminopyrimidines DHFR Inhibitors

    C1.2.2 Soluble Diaminopyrimidine Scaffold

    C1.2.3 Design of 2,4-Diaminopyrimidine Library

    C1.2.4 Structure-Based Design Strategy

    C1.2.5 3D Structural Data Available

    C1.2.6 2,4-Diaminopyrimidine Anchorage to DHFR

    C1.2.7 Docking of the Virtual Library

    C1.2.8 Selection and Synthesis

    C1.2.9 Biological Tests

    C1.2.10 Detailed Analysis of Binding Mode

    C1.2.11 Enantiomers with Different Activities

    C1.2.12 Binding Mode and Absolute Stereochemistry

    C1.2.13 Diversity-Based Strategy

    C1.2.14 Selection Based on Diversity of Pair Overlaps

    C1.2.15 Selection of Molecules and Biological Tests

    C1.2.16 Structure-Based vs. Diversity-Based Strategy

    C1.2.17 Efficiency of the Structure-Based Selection

    C1.2.18 Summary

    C1.2.19 What can we Learn from this Study ?

    C1.3 Case Study-3 : Aminothiazole Libraries

    C1.3.1 Design of Diverse and Focused Libraries

    C1.3.2 Steps in Library Design Process

    C1.3.3 Define Chemical Reaction

    C1.3.4 Select Pool of Possible Building Blocks

    C1.3.5 Refine List of Building Blocks

    C1.3.6 Library Enumeration C1.3.7 Reaction-Based Enumeration

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    C1.3.8 Fragment-Based Enumeration

    C1.3.9 Properties Profiling of the Virtual Library

    C1.3.10 Simple Property Profiling

    C1.3.11 Profiling of Knowledge-Based Properties

    C1.3.12 Analysis of the Diversity of the Virtual Library C1.3.13 Optimal Subset of the Virtual Library for Synthesis

    C1.3.14 Frequency Analysis Method

    C1.3.15 Advanced Frequency Analysis

    C1.3.16 Example of Advanced Frequency Analysis

    C1.3.17 Multicriteria Optimization

    C1.3.18 The Weighted Sum Approach

    C1.3.19 Limitation of the Weighted Sum Approach

    C1.3.20 Multiple Objective Genetic Algorithms (MOGA)

    C1.3.21 MOGA Plot and Pareto Ranking

    C1.3.22 Example of Multi-Dimensional Optimization

    C1.3.23 MOGA Results

    C1.3.24 Expanding one MOGA Solution

    C1.4 ADDITIONAL CASE STUDIES

    C1.4.1 Additional Case Studies

    D. ADME PROPERTIES AND PREDICTIONS

    D1. CASE STUDIES IN ADME/TOX PREDICTIONS

    D1.1 ADME/Tox Case Study 1: Identification of Non-Genotoxic Carcinogens

    D1.1.1 Identification of Non-Genotoxic Carcinogens

    D1.1.2 Current ADME/Tox Analyses

    D1.1.3 Possible Models for Non-Genotoxic Carcinogens

    D1.1.4 Both Receptors Form Heterodimers

    D1.1.5 Activation for the Arylhydrocarbon Receptor

    D1.1.6 The Responsive Elements of Interaction (1/2)

    D1.1.7 The Responsive Elements of Interaction (2/2)

    D1.1.8 Binding Analysis of the Arylhydrocarbon Receptor (AhR)

    D1.1.9 Ligand Identification of the Arylhydrocarbon Receptor (AhR)

    D1.1.10 Induction on the mRNA Level by AhR

    D1.1.11 Induction on the Enzyme Level by AhR

    D1.1.12 Similar Induction of Enzyme Activity Between Species (1/2)

    D1.1.13 Similar Induction of Enzyme Activity Between Species (2/2)

    D1.1.14 Examples of Rat Specific Induction of Enzyme Activities D1.1.15 Examples of Human Specific Induction of Enzyme Activities

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    D1.1.16 Conclusion

    D1.1.17 Outcome of this Testing

    D1.2 ADME/Tox Case Study 2: Interpretation of Toxicology from an ADMETStandpoint

    D1.2.1 Case Studies Presented Here

    D1.2.2 The Action of a Drug

    D1.2.3 Reasons for Species Specific Responses

    D1.2.4 Example-1: Differences in Metabolism

    D1.2.5 Different Metabolism of the two Analogs

    D1.2.6 Ketoconazole Binding

    D1.2.7 Desacetyl-Ketoconazole Binding

    D1.2.8 Example-2: Differences in Rate of Metabolism

    D1.2.9 PK /PD Model of Response

    D1.2.10 Origin of the Hepatotoxicity of Procicromil in Dog D1.2.11 Toxicity due to Different Plasma Clearance Values

    D1.2.12 Example-3: Differences in Receptor Affinity

    D1.2.13 Affinity for Cardiac Na+/K+ ATPase (1/2)

    D1.2.14 Affinity for Cardiac Na+/K+ ATPase (2/2)

    D1.2.15 Interpretation of Toxicology from Animal Data

    D1.2.16 Interpretation of Toxicology from Human Data

    D1.3 ADME/Tox Case Study 3: Drug Withdrawals due to Toxicity

    D1.3.1 Drug Failures, Lessons and Learnings for the Future

    D1.3.2 Three Types of Drug Withdrawals

    D1.3.3 Type A

    D1.3.4 Type B

    D1.3.5 Type C

    D1.3.6 Type D

    D1.3.7 Table of Drug Withdrawals from 1980

    D1.3.8 Type A1 Drug Withdrawals

    D1.3.9 Alosetron

    D1.3.10 Cerivastatin

    D1.3.11 Flosequinan

    D1.3.12 Encainide

    D1.3.13 Rofecoxib

    D1.3.14 Lessons from Withdrawals due to Primary Pharmacology

    D1.3.15 A Broad Spectrum of Drugs

    D1.3.16 Impact on Decisions in Drug Discovery

    D1.3.17 Type A2 Drug Withdrawals

    D1.3.18 Fenfluramine and Dexfenfluramine (1/2)

    D1.3.19 Fenfluramine and Dexfenfluramine (2/2)

    D1.3.20 Rapacuronium

    D1.3.21 Astemizole, Cisapride, Grepafloxacin and Terfenadine (1/2)

    D1.3.22 Astemizole, Cisapride, Grepafloxacin and Terfenadine (2/2)

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    D1.3.23 Mibefradil

    D1.3.24 Lessons from Withdrawals Due to Secondary Pharmacology

    D1.3.25 Impact on Discovery Screening Programs

    D1.3.26 Type B and C Toxicity Drug Withdrawals (1/4)

    D1.3.27 Type B and C Toxicity Drug Withdrawals (2/4) D1.3.28 Type B and C Toxicity Drug Withdrawals (3/4)

    D1.3.29 Type B and C Toxicity Drug Withdrawals (4/4)

    D1.3.30 Lessons Learned from Type B/C Toxicity

    D1.3.31 Importance of Dose in B and C Toxicity

    D1.3.32 Type D Toxicity Drug Withdrawals

    D1.3.33 Thalidomide

    D1.3.34 Balancing Benefit / Risk

    D1.3.35 Benefit Analyses for Antidepressants

    D1.3.36 Monitoring

    E. STRUCTURE-BASED DESIGN

    E1. CASE STUDIES IN STRUCTURE-BASED DESIGN

    E1.1 Case Study-1 : Phenyl Imidazoles

    E1.1.1 Phenyl-Imidazoles Inhibit Cytochrome P450

    E1.1.2 Simple Consideration: Shape Similarity

    E1.1.3 Perhaps Binding Elements are more Complex ?

    E1.1.4 The Structure-Based Answer

    E1.1.5 Phenyl-Imidazole Browser

    E1.1.6 Limitations of Chemical Intuition

    E1.2 Case Study-2 : BACE-1 Inhibitors

    E1.2.1 BACE-1 Inhibitors

    E1.2.2 Screening the J&J Corporate Compound Collection

    E1.2.3 Structural Determinants of the Biological Activity of 1

    E1.2.4 X-ray Structure of the Complex of 1 with BACE-1

    E1.2.5 Flap Flexibility in Aspartyl Proteases

    E1.2.6 Compound with Increased Folding Capability

    E1.2.7 How to Gain Additional Binding

    E1.2.8 Design of a More Potent Inhibitor

    E1.2.9 X-Ray Structure of the Complex with 3a

    E1.2.10 Pharmacological Action of Compound 3a

    E1.2.11 Important Structural Determinants for Binding

    E1.2.12 Summary

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    E1.3 Case Study-3 : Factor Xa Inhibitors

    E1.3.1 Therapeutic Utility of Factor Xa Inhibitors

    E1.3.2 DX-9065a : a Factor Xa Inhibitor

    E1.3.3 Complex Between Factor Xa and DX-9065a E1.3.4 Analysis of the Factor Xa and DX-9065a Complex (1/4)

    E1.3.5 Analysis of the Factor Xa and DX-9065a Complex (2/4)

    E1.3.6 Analysis of the Factor Xa and DX-9065a Complex (3/4)

    E1.3.7 Analysis of the Factor Xa and DX-9065a Complex (4/4)

    E1.3.8 Role of the Carboxylic Acid in Selectivity (1/3)

    E1.3.9 Role of the Carboxylic Acid in Selectivity (2/3)

    E1.3.10 Role of the Carboxylic Acid in Selectivity (3/3)

    E1.3.11 Initial Inhibitor Design

    E1.3.12 Design (step 1): Structural Moiety for Pocket S1

    E1.3.13 Phenyl-Amidine Entered into the S1 Pocket

    E1.3.14 Phenyl-Amidine Oriented in Lowest Energy Orientation

    E1.3.15 Design (step 2): Structural Moiety for Pocket S4

    E1.3.16 Phenyl Ring Introduced in Pocket S4

    E1.3.17 Phenyl Substituted with an Amidine

    E1.3.18 Stacking Interaction of Phenyl-Amidine with Trp-215

    E1.3.19 Phenyl-Amidine Orientation

    E1.3.20 Design (step 3): Design of the Spacer

    E1.3.21 Phenyl-Amidine Groups in their Preferred Orientations

    E1.3.22 Spacer with three Atoms

    E1.3.23 Candidate Prototype in the Catalytic Site

    E1.3.24 Design (step 4): Positioning of the Carboxylate

    E1.3.25 Discovery of a Lead Compound

    E1.3.26 Optimization of the Designed Series

    E1.3.27 Interaction of Compound 21 with Factor Xa

    E1.3.28 Finding an Optimal Spacer

    E1.4 Case Study-4 : Kinase Inhibitors

    E1.4.1 Pyrrolo-Pyrimidine & Quinazoline EGF-R Inhibitors

    E1.4.2 Novartis and Parke-Davis Opposite Binding Models

    E1.4.3 Controversy: Novartis & Parke-Davis Binding Modes E1.4.4 Parke-Davis Analyses

    E1.4.5 Novartis Analyses

    E1.4.6 X-ray Structure of ATP Bound to a Kinase

    E1.4.7 Binding Mode of ATP

    E1.4.8 Binding Mode of Staurosporine

    E1.4.9 Homology Model of EGF-R Catalytic Site

    E1.4.10 From Staurosporine to Pyrrolo-pyrimidine

    E1.4.11 The Novartis Binding Mode of Pyrrolo-pyrimidine

    E1.4.12 The Pyrrole Ring in the Large Pocket

    E1.4.13 The Pyrrole Ring Pointing Towards the Sugar Pocket E1.4.14 Parke-Davis Analyses the Quinazoline Scaffold

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    E1.4.15 Additional SAR Analyses made by Parke-Davis

    E1.4.16 Parke-Davis Model of the Quinazoline Analogs

    E1.4.17 Specificity Observed in EGF-R Kinase Inhibition

    E1.4.18 Anilino Towards the Sugar Pocket not Reasonable

    E1.4.19 Parke-Davis Model Consistent with Observed SAR E1.4.20 Binding Mode of the Pyrrolo-Pyrimidine Series

    E1.4.21 Binding Mode of the Quinazoline Series

    E1.4.22 What is the Correct Solution?

    E1.4.23 Ligand Observed with a Novartis Binding Mode

    E1.4.24 Alignment with the Novartis Model

    E1.4.25 Ligand Observed with a Parke-Davis Binding Mode

    E1.4.26 Alignment with the Parke-Davis Model

    E1.4.27 X-Ray Resolution of Tarceva Bound to EGF-R Kinase

    E1.4.28 Conclusion

    E1.5 ADDITIONAL CASE STUDIES

    E1.5.1 Additional Case Studies

    E2. CASE STUDIES OF DOCKING IN DRUG DISCOVERY

    E2.1 Case Study 1 : Pyrimidin-4-yl-ureas for Kinase Inhibition

    E2.1.1 Inhibitor Active on Several Protein Kinases

    E2.1.2 Structural Determinants for the Activity

    E2.1.3 Correlation with the Volume of Gate Keeper Residue

    E2.1.4 Outcome of this Study

    E2.2 Case Study 2 : Inhibition of CHK1

    E2.2.1 The CHK1 Kinase

    E2.2.2 The Indazole Series

    E2.2.3 Binding Mode of the Indazole Core E2.2.4 Binding Modes of the Potent Indazole Analog

    E2.2.5 Pocket may Help for Selectivity

    E2.2.6 Overlay with Other Chk1 Inhibitors

    E2.2.7 Structure-Based Screening of Chk1 Inhibitors

    E2.2.8 Hits Identified by Virtual Screening

    E2.2.9 X-Ray Structures of Four Virtual Screening Hits

    E2.2.10 Binding Modes Predicted for Other Five Hits

    E2.2.11 Outcome of this Study

    E2.3 Case Study 3 : Thrombin Inhibitors

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    E2.3.1 Two Methods of Virtual Screening

    E2.3.2 Combining Structure-Based and Ligand-Based VS

    E2.3.3 Screening Protocol

    E2.3.4 Steps of the Docking Treatment

    E2.3.5 Specificity Pockets in Thrombin E2.3.6 Development of the Hybrid Approach

    E2.3.7 Inhibition Assays of Top-Scoring Compounds

    E2.3.8 Analysis of the Binding Mode of Compound 1

    E2.3.9 Binding Mode Compared with Known Inhibitors

    E2.3.10 What was Learned in this Test Study ?

    E2.3.11 Analyzing Top Ranked Compounds

    E2.3.12 Limitations of Scoring Functions

    E2.4 Case Study 4 : Salicylamide Renin Inhibitor

    E2.4.1 Search for New Scaffold in Renin Inhibition E2.4.2 3D Analyses

    E2.4.3 Preferred Location of Phenyl Ring in Pocket P3

    E2.4.4 Docking Experiment

    E2.4.5 Results of the Docking

    E2.4.6 Search for an Optimal Spacer

    E2.4.7 The Salicylamide Lead

    E2.4.8 Predictions Confirmed by X-Ray Study

    E2.4.9 Browser of Salicylamide Inhibitor

    E2.4.10 Optimization of the Salicylamide Series

    E2.4.11 Summary E2.4.12 Lead Hopping

    E2.5 Case Study 5 : Inhibition of Human Neutrophil Elastase

    E2.5.1 Inhibition of Human Neutrophil Elastase

    E2.5.2 Sesquiterpene Lactones

    E2.5.3 Studies on 17 Sesquiterpene Lactones

    E2.5.4 Docking Studies

    E2.5.5 Docking Protocol

    E2.5.6 Results of the Docking Studies

    E2.5.7 Elucidation of the Mode of Action

    E2.5.8 Docking Results of Melampolides 2 and 4

    E2.5.9 Docking Results of Podachaenin 14

    E2.5.10 Docking Results of Germacranolide 8

    E2.5.11 Structural Determinants for Binding to HNE

    E2.5.12 Summary

    E2.6 ADDITIONAL CASE STUDIES

    E2.6.1 Additional Case Studies

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    F. CHEMINFORMATICS

    F1. CASE STUDIES IN 3D DATABASE SEARCHING

    F1.1 Case Study-1 : Ligands of the Dopamine D3 Receptor

    F1.1.1 Reference Compounds

    F1.1.2 Pharmacophore Model

    F1.1.3 Model of the Dopamine D3 Receptor

    F1.1.4 Residues Involved in the Binding

    F1.1.5 Combined Pharmacophore and Structure-Based Searching

    F1.1.6 Results of the 3D Searching

    F1.1.7 Summary

    F1.1.8 Browser of Dopamine D3 Receptor Ligands

    F1.2 Case Study-2 : Non-Peptidic Cyclophilin Ligands

    F1.2.1 Reference Compound: Cyclosporin A

    F1.2.2 The Bioactive Conformation of Cyclosporin A

    F1.2.3 Pharmacophore Model

    F1.2.4 Results of 3D Searching

    F1.2.5 Superposition of the Hit with Cyclosporin-A

    F1.2.6 Optimization of Initial Hit F1.2.7 Browser of Non-Peptidic Cyclophilin Ligands

    F1.3 Case Study-3 : Motilin Receptor Antagonists

    F1.3.1 Motilin Receptor Antagonists

    F1.3.2 Motilin Receptor and Motilin Peptide

    F1.3.3 Structural Analyses on Motilin

    F1.3.4 Analyses of Motilin Folding

    F1.3.5 Bioactive Conformation of Motilin

    F1.3.6 Biologically Relevant Residues of Motilin

    F1.3.7 The Motilin Pharmacophore

    F1.3.8 RWJ-64583: a Trisubstituted Cyclopentene Lead

    F1.3.9 The Three-point Pharmacophore and RWJ-64583

    F1.3.10 Optimization of the Initial Lead Molecule

    F1.3.11 Mimicking the Phe-5 of Motilin

    F1.4 Case Study-4 : Inhibitors of HIV-1 Protease

    F1.4.1 HIV-1 Protease Inhibition

    F1.4.2 The Peptide Problem

    F1.4.3 Database Searching for Non-Peptidic Scaffolds

    F1.4.4 The Terphenyl Derivative Hit

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    F1.4.5 Analysis of the Content of the Hit

    F1.4.6 Replacing Cyclohexanone by a 7-Membered Ring

    F1.4.7 Problem of the 6-membered Ring

    F1.4.8 Optimal Framework: 7-membered Cyclic Urea

    F1.4.9 Design of Cyclic Urea Scaffold F1.4.10 XK-263 is a Non-Peptidic Mimic of A-77003

    F1.4.11 Summary

    F1.5 Case Study-5 : Non-Sugar Antagonists of Selectin

    F1.5.1 Reference Compound

    F1.5.2 Initial SAR Analyses

    F1.5.3 Pharmacophore Model

    F1.5.4 Results of 3D Searching

    F1.5.5 Optimization of the Diphenyl Ether Hit

    F1.5.6 Optimization of the Diphenyl Ether Hit F1.5.7 Optimization of the Diphenyl Ether Hit

    F1.5.8 Summary

    F1.5.9 Browser of Selectin Antagonists

    F1.6 Case Study-6 : Dopamine Transporter Inhibitors

    F1.6.1 The Dopamine Transporter Target

    F1.6.2 Methodology: 3D Database Searching

    F1.6.3 First Pharmacophore

    F1.6.4 3D Searching Results with the First Pharmacophore

    F1.6.5 Piperidinol Hit

    F1.6.6 Optimization of the Piperidinol Hit

    F1.6.7 Quinuclidine Hit

    F1.6.8 Optimization of the Quinuclidine Hit

    F1.6.9 Phenyl-4 Piperidine Hit

    F1.6.10 Optimization of the Phenyl-4 Piperidine Hit

    F1.6.11 Challenging the First Pharmacophore

    F1.6.12 Structural Analyses of the Quinuclidine Hit

    F1.6.13 Modeling Analyses: C=O Not Necessary!

    F1.6.14 Browser Associated to the First Pharmacophore

    F1.6.15 What Can Be Learned So Far?

    F1.6.16 Second Pharmacophore

    F1.6.17 Characteristics of the Second Pharmacophore

    F1.6.18 3D Searching with the Second Pharmacophore

    F1.6.19 Optimization of the Pyrrolidine Hit

    F1.6.20 What Can Be Learned So Far?

    F1.6.21 Browser Associated to the Second Pharmacophore

    F1.6.22 Third Pharmacophore

    F1.6.23 Bioactive Form of Mazindol

    F1.6.24 Characteristics of the Third Pharmacophore

    F1.6.25 3D Searching with Third Pharmacophore

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    F1.6.26 Browser Associated to the Third Pharmacophore

    F1.6.27 Fourth Pharmacophore

    F1.6.28 Aligning Low Energy Conformers

    F1.6.29 Characteristics of the Fourth Pharmacophore

    F1.6.30 3D Searching with the Fourth Pharmacophore F1.6.31 Optimization of the Substituted Pyridine Hit

    F1.6.32 Browser Associated to the Fourth Pharmacophore

    F1.6.33 Summary

    F1.7 ADDITIONAL CASE STUDIES

    F1.7.1 Additional Case Studies

    G. LIGAND-BASED DESIGN

    G1. CASE STUDIES IN LIGAND-BASED DESIGN

    G1.1 Case Study-1 : Aromatase Inhibitors

    G1.1.1 Therapeutic Utility of Aromatase Inhibitors

    G1.1.2 Reference Set of Aromatase Inhibitors

    G1.1.3 Pharmacophore for Aromatase Inhibitors (1/3)

    G1.1.4 Pharmacophore for Aromatase Inhibitors (2/3)

    G1.1.5 Pharmacophore for Aromatase Inhibitors (3/3)

    G1.1.6 The Design of a New Inhibitor of Aromatase

    G1.1.7 Browser of Aromatase Inhibitors

    G1.2 Case Study-2 : Substance P Antagonists

    G1.2.1 Therapeutic Utility of Substance P Antagonists

    G1.2.2 Reference Set of Substance P Antagonists

    G1.2.3 Pharmacophore for Substance P Antagonists

    G1.2.4 Origin of the Poor Activity of SP4

    G1.2.5 Constrained Boat Conformation of CP96345

    G1.2.6 The Design of a Potent Substance P Antagonist

    G1.2.7 The Superimposition of CP96345 and CP99994

    G1.2.8 Browser of Substance P Antagonists

    G1.3 Case Study-3 : Tricyclic Antidepressants

    G1.3.1 Mode of Action of Tricyclic Antidepressants

    G1.3.2 Reference Set of Antidepressant Molecules

    G1.3.3 Invalidation of the "Butterfly" Model G1.3.4 Pharmacophore for Antidepressants

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    G1.3.5 Browser for Antidepressant Agents

    G1.3.6 The Design of RU-22249

    G1.3.7 Browser for Antidepressant Agents

    G1.4 Case Study-4 : Morphinan Analgesics

    G1.4.1 Importance of Energies in Ligand-Based Design

    G1.4.2 Morphinan and D-nor Morphinan Alignment

    G1.4.3 Conformational Analysis of Morphinan

    G1.4.4 Conformational Analysis of D-nor Morphinan

    G1.4.5 A Rationale for Explaining the Activities Observed

    G1.4.6 Morphinan: Validation and Design

    G1.4.7 Preferred Conformer of Active Enantiomer

    G1.4.8 Preferred Conformer of Inactive Enantiomer

    G1.4.9 Restoring Activities to the Inactive Analog?

    G1.4.10 Morphinan Browser G1.4.11 What We Can Learn From The Morphinan Example

    G1.5 ADDITIONAL CASE STUDIES

    G1.5.1 Additional Case Studies

    H. QSAR AND CHEMOMETRICS

    H1. CASE STUDIES IN QSAR AND 3D-QSAR

    H1.1 Case Study-1 : QSAR of Capsaicin Analogs

    H1.1.1 Example of Capsaicin Analogs

    H1.1.2 Relevant Descriptors of Capsaicin Analogs

    H1.1.3 The Capsaicin Study Table

    H1.1.4 Graphical Analysis of Capsaicin Analogs

    H1.1.5 Deriving a QSAR Linear Equation

    H1.1.6 Experimental vs. Calculated Values (1/2)

    H1.1.7 Experimental vs. Calculated Values (2/2)

    H1.1.8 Calculating r for the Capsaicin analogs

    H1.1.9 t-test for the Capsaicin Analogs

    H1.1.10 F-test for a Series of the Capsaicin Analogs

    H1.1.11 The QSAR Equation for the Capsaicin Analogs

    H1.1.12 Predicting the Activities of Unknown Compounds

    H1.2 Case Study-2 : 3D-QSAR of Steroid Analogs

    H1.2.1 The Reference Compounds

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    H1.2.2 The Biological Data

    H1.2.3 Molecular Alignment

    H1.2.4 CoMFA Field Calculations

    H1.2.5 CoMFA and PLS Results vs. Classical QSAR

    H1.2.6 Steric CoMFA Map for Binding to TBG H1.2.7 Electrostatic CoMFA Map for Binding to TBG

    H1.2.8 CBG Affinities of New Steroids

    H1.2.9 Predicting the CBG Affinities of New Steroids

    Molecular Conceptor 2.16Synergix ltd. 1996-2012