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Young David C. Computational Drug Design: A Guide for Computational and Medicinal Chemists

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Young David C. Computational Drug Design: A Guide for Computational and Medicinal Chemists
John Wiley & Sons, Inc. 2009. — 307 p.
For students interested in pursuing a career in the drug design field, this text is intended to give an ideal starting point for their studies. The text assumes a solid background in chemistry, a basic understanding of biochemistry, and nly minimal previous exposure to computational chemistry.
Researchers already employed in the drug design field will be particularly nterested in the tables comparing accuracies of docking methods. There is also a fairly large table of bioisosteric substitutions. Providing an overview of the whole field may turn out to be this book’s greatest contribution.
Symbols used in this book
Book abstract
A Difficult Problem
An Expensive Problem
Where Computational Techniques are Used
Part I The drug design process
Properties that Make a Molecule a Good Drug
Compound Testing
Biochemical Assays
Cell-Based Assays
Animal Testing
Human Clinical Trials
Molecular Structure
Activity
Bioavailability and Toxicity
Drug Side Effects
Multiple Drug Interactions
Metrics for Drug-Likeness
Exceptions to the Rules
Target Identification
Primary Sequence and Metabolic Pathway
Crystallography
D NMR
Homology Models
Protein Folding
Target Characterization
Analysis of Target Mechanism
Kinetics and Crystallography
Automated Crevice Detection
Transition Structures and Reaction Coordinates
Molecular Dynamics Simulations
Where the Target is Expressed
Pharmacophore Identification
Choosing an Inhibitor Mechanism
The Drug Design Process for a Known Protein Target
The Structure-Based Design Process
Initial Hits
Compound Refinement
ADMET
Drug Resistance
The Drug Design Process for an Unknown Target
The Ligand-Based Design Process
Initial Hits
Compound Refinement
ADMET
Drug Design for Other Targets
DNA Binding
RNA as a Target
Allosteric Sites
Receptor Targets
Steroids
Targets inside Cells
Targets within the Central Nervous System
Irreversibly Binding Inhibitors
Upregulating Target Activity
Compound Library Design
Targeted Libraries versus Diverse Libraries
From Fragments versus from Reactions
Non-Enumerative Techniques
Drug-Likeness and Synthetic Accessibility
Analyzing Chemical Diversity and Spanning known Chemistries
Compound Selection Techniques
Part II Computational tools And techniques
Homology Model Building
How much Similarity is Enough?
Steps for Building a Homology Model

Step : Template Identification
Step : Alignment between the Unknown and the Template
Step : Manual Adjustments to the Alignment
Step : Replace Template Side Chains with Model Side Chains
Step : Adjust Model for Insertions and Deletions
Step : Optimization of the Model
Step : Model Validation
Step : If Errors are Found Iterate Back to Previous Steps
Reliability of Results
Molecular Mechanics
A Really Brief Introduction to Molecular Mechanics
Force Fields for Drug Design
Protein Folding
The Difficulty of the Problem
Algorithms
Reliability of Results
Conformational Analysis
Docking
Introduction
Search Algorithms

Searching the Entire Space
Grid Potentials versus Full Force Field
Flexible Active Sites
Ligands Covalently Bound to the Active Site
Hierarchical Docking Algorithms
Scoring
Energy Expressions and Consensus Scoring
Binding Free Energies
Solvation
Ligands Covalently Bound to the Active Site
Metrics for Goodness of Fit
Validation of Results
Comparison of Existing Search and Scoring Methods
Special Systems
The Docking Process

Protein Preparation
Building the Ligand
Setting the Bounding Box
Docking Options
Running the Docking Calculation
Analysis of Results
Pharmacophore Models
Components of a Pharmacophore Model
Creating a Pharmacophore Model from Active Compounds
Creating a Pharmacophore Model from the Active Site
Searching Compound Databases
Reliability of Results
QSAR
Conventional QSAR versus D-QSAR
The QSAR Process
Descriptors
Automated QSAR Programs
QSAR versus Other Fitting Methods
D-QSAR
The D-QSAR Process
D-QSAR Software Packages
Quantum Mechanics in Drug Design
Quantum Mechanics Algorithms and Software
Modeling Systems with Metal Atoms
Increased Accuracy
Computing Reaction Paths
Computing Spectra
De novo and Other AI Techniques
De novo Building of Compounds
Nonquantitative Predictions
Quantitative Predictions
Cheminformatics
Smiles SLN and Other Chemical Structure Representations
Similarity and Substructure Searching
D-to-D Structure Generation
Clustering Algorithms
Screening Results Analysis
Database Systems
ADMET
Oral Bioavailability
Drug Half-Life in the Bloodstream
Blood–Brain Barrier Permeability
Toxicity
Multiobjective Optimization
Automation of Tasks
Built-In Automation Capabilities
Automation Using External Utilities
Part III Related topics
Bioinformatics
Simulations at the Cellular and Organ Level
Cellular Simulations
Organ Simulations
Synthesis Route Prediction
Proteomics
Prodrug Approaches
Future Developments in Drug Design
Individual Patient Genome Sequencing
Analysis of the Entire Proteome
Drugs Customized for Ethnic Group or Individual Patient
Genetic Manipulation
Cloning
Stem Cells
Longevity
Appendix: About the CD
Index
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