Computer-aided Drug Design

Slides:



Advertisements
Similar presentations
Case Study: Dopamine D 3 Receptor Anthagonists Chapter 3 – Molecular Modeling 1.
Advertisements

Ionization and dissociation of drugs-1
Jürgen Sühnel Institute of Molecular Biotechnology, Jena Centre for Bioinformatics Jena / Germany Supplementary Material:
Computational Chemistry
 Structure-based drug design:  The macromolecular target can be isolated and crystallized…then the structure will be determined using X-ray crystallography.
Quantative Structure- Activity Relationships. Why QSAR? The number of compounds required for synthesis in order to place 10 different groups in 4 positions.
Quantitative Structure-Activity Relationships (QSAR) Comparative Molecular Field Analysis (CoMFA) Gijs Schaftenaar.
Bioinformatics IV Quantitative Structure-Activity Relationships (QSAR) and Comparative Molecular Field Analysis (CoMFA) Martin Ott.
Structural biology and drug design: An overview Olivier Taboureau Assitant professor Chemoinformatics group-CBS-DTU
Organic Chemistry 4 th Edition Paula Yurkanis Bruice Irene Lee Case Western Reserve University Cleveland, OH ©2004, Prentice Hall Chapter 30 The Organic.
Chapter 6 Metabolism: Energy and Enzymes. Metabolism The totality of an organism's chemical reactions, consisting of catabolic and anabolic pathways Catabolic.
Quantitative Structure-Activity Relationships (QSAR)  Attempts to identify and quantitate physicochemical properties of a drug in relation to its biological.
Computational Chemistry. Overview What is Computational Chemistry? How does it work? Why is it useful? What are its limits? Types of Computational Chemistry.
Pharmacophore and FTrees
Molecular Descriptors
Rational Drug Discovery PC session Protein sequence analysis Biocomputing Primary etc structure X-ray crystallography Structural genomics Homology modelling.
Functional groups / Pharmacological Activity
Chapter 2 Chemistry of Life
Introduction to Chemoinformatics Irene Kouskoumvekaki Associate Professor December 12th, 2012 Biological Sequence Analysis course.
DE NOVO DESIGN OF A THYMIDYLATE KINASE INHIBITOR.
Use of Machine Learning in Chemoinformatics Irene Kouskoumvekaki Associate Professor December 12th, 2012 Biological Sequence Analysis course.
Modern Tools of Drug Discovery
3D- QSAR. QSAR A QSAR is a mathematical relationship between a biological activity of a molecular system and its physicochemical parameters. QSAR attempts.
In silico discovery of inhibitors using structure-based approaches Jasmita Gill Structural and Computational Biology Group, ICGEB, New Delhi Nov 2005.
 Receptors are mostly membrane-bound proteins that selectively bind small molecules called ligands which results in physiological response.  They are.
Chapter 8 Metabolism: Energy and Enzymes Energy is the capacity to do work; cells must continually use energy to do biological work. Kinetic Energy is.
Physicochemical Properties of Drugs in relation to Drug Action Roselyn Aperocho Naranjo, RPh, MPH USPF, College of Pharmacy
Altman et al. JACS 2008, Presented By Swati Jain.
Virtual Screening C371 Fall INTRODUCTION Virtual screening – Computational or in silico analog of biological screening –Score, rank, and/or filter.
Copyright © by Holt, Rinehart and Winston. All rights reserved. ResourcesChapter menu Chemistry of Life Chapter 2 Table of Contents Section 1 Composition.
Copyright © by Holt, Rinehart and Winston. All rights reserved. ResourcesChapter menu To View the presentation as a slideshow with effects select “View”
Computer-aided drug discovery (CADD)/design methods have played a major role in the development of therapeutically important small molecules for several.
Chemistry of Life Chapter 2 Table of Contents Section 1 Composition of Matter Section 2 Energy Section 3 Water and Solutions.
© Paradigm Publishing, Inc.1 Chapter 2 Basic Concepts of Pharmacology.
Use of Machine Learning in Chemoinformatics
1.Introduction 2. The Atom 4-Interactions of Radiation With Matter 5-Biological (Molecular and Cellular ) Effects of Ionizing Radiation Course Content.
Molecular mechanics Classical physics, treats atoms as spheres Calculations are rapid, even for large molecules Useful for studying conformations Cannot.
Basic Concepts of Pharmacology © Paradigm Publishing, Inc.
Elon Yariv Graduate student in Prof. Nir Ben-Tal’s lab Department of Biochemistry and Molecular Biology, Tel Aviv University.
Molecular Modeling in Drug Discovery: an Overview
SMA5422: Special Topics in Biotechnology Lecture 11: Computer aided drug design: QSAR approach. SMA5422: Special Topics in Biotechnology Lecture 11: Computer.
So that k k E 5 = - E 2 = = x J = x J Therefore = E 5 - E 2 = x J Now so 631.
Page 1 Computer-aided Drug Design —Profacgen. Page 2 The most fundamental goal in the drug design process is to determine whether a given compound will.
How to Use This Presentation
Lipinski’s rule of five
DRUG DESIGN: OPTIMIZING TARGET INTERACTIONS
CHM 708: MEDICINAL CHEMISTRY
Atoms, Element, Compounds, & Chemical Reactions
Medicinal Chemistry III
Chapter 2 : The Chemistry of Life
I CHEMISTRY.
Simplified picture of the principles used for multiple copy simultaneous search (MCSS) and for computational combinatorial ligand design (CCLD). Simplified.
Periodic Trends of the Elements
All living things are made up of MATTER. MATTER: *has mass *takes up space *made up of Atoms *has three states: solid, liquid & gas *can be made.
Acidity and basicity of Drugs Pharmaceutical Medicinal Chemistry-I
Chapter 2 Chapter 2 Mostly a review of Physical Science B
Building Hypotheses and Searching Databases
Drug Receptor Interactions
Virtual Screening.
Chapter Two Water: The Solvent for Biochemical Reactions
ORGANIC PHARMACEUTICAL CHEMISTRY IV
Table of Contents – Review of General Properties of Chemistry
Cheminformatics Basics
ORGANIC PHARMACEUTICAL CHEMISTRY IV
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Mr.Halavath Ramesh 16-MCH-001 Dept. of Chemistry Loyola College University of Madras-Chennai.
Volume 21, Issue 6, Pages (June 2013)
Presentation transcript:

Computer-aided Drug Design Ligand Structure database (In silico) Course: Drug Design Course code: 0510412 Dr. Balakumar Chandrasekaran Dr. Bilal Al-Jaidi Assistant Professors, Faculty of Pharmacy, Philadelphia University-Jordan

Learning Outcomes At the end of this lesson students will be able to Outline the entire process involved in the computer-aided drug design methodologies. Describe about molecular mechanics and quantum mechanics. Explain structure-based drug design including the molecular docking technique. Describe about QSAR and pharmacophore modeling in ligand-based drug design. Explain the steric-electronic modifications in de novo drug design method.

Drug acting on different targets Medicine or substance which has a physiological effect when administered into the body. Drug acting on different targets • Enzyme - inhibitors • Receptor - agonists or antagonists • Ion channels - blockers • Transporter - update inhibitors • DNA – blockers.

Molecular Modeling Techniques Quantum Mechanics Molecular Mechanics Molecular Dynamics Pharmacophore Development Hits from Database Searches Prioritization of Hits

Molecular Modeling: Computer Aided Drug Design Molecular Mechanics Quantum Mechanics Structure-based Drug Design or Target-based Drug Design (Docking Studies) Ligand-based Drug Design QSAR Studies (2D, 3D etc.) Pharmacophore Mapping Three-dimensional (3D) Structure of Target Known (Receptor/enzyme) Three-dimensional (3D) Structure of Target NOT Known/available Homology Modeling of Target protein / receptor Specify the binding site surrounding the bound co-crystal ligand Search / Identify binding site in Homology Model Specify the binding-site Docking studies

Molecular Mechanics It is the more popular method used to obtain molecular models as it is simpler to use and requires considerably less computing time to produce a model. It assumes that the total POTENTIAL ENERGY (ETotal) of a molecule is given by the sum of all the energies of the attractive and repulsive forces between the atoms in the structure. These energies are calculated using a Mechanical Model in which atoms are represented by balls whose mass is proportional to their relative atomic masses atoms are joined by mechanical springs corresponding to the covalent bonds in the structure.

ETotal = ∑EStretching + ∑EBend + ∑ETorsion + ∑EvdW + ∑EColumbic Molecular Mechanics Molecular mechanical calculations are normally based on isolated structures at 0 K and do not take into account the effect of the environment on the structure. Using this model, ETotal may be expressed mathematically by equations, known as Force Fields ETotal = ∑EStretching + ∑EBend + ∑ETorsion + ∑EvdW + ∑EColumbic

Quantum Mechanics H ѱ = E ѱ It does not require the use of parameters similar to those used in molecular mechanics. It is based on the realisation that electrons and all material particles exhibit wave-like properties. Mathematics of wave motions are applied to electrons, atomic and molecular structure. The basis of these calculations is the Schrodinger wave equation: H ѱ = E ѱ ѱ = time dependent wave function, which defines the state (nature and properties) of a system. E ѱ = represents the total potential and kinetic energy of all the particles (nuclei and electrons) in the structure H = Hamiltonium operator acting on the wave function ѱ

Quantum Mechanics Applications: Quantum mechanics is useful for calculating the values of ionisation potentials, electron affinities, heats of formation, dipole moments and other physical properties of atoms and molecules. to calculate the relative probabilities of finding electrons (the electron density) in a structure. This makes it possible to determine the most likely points at which a structure will react with electrophiles and nucleophiles. to assess the nature of the binding of a possible drug to a target site.

Molecular Mechanics Vs Quantum Mechanics Quantum mechanical methods deal with electrons in a system, and the calculations are very MUCH time consuming. B. Molecular mechanics (force-field methods) on the other hand ignore the electronic motions and calculates the energy of the system as a function of the nuclear position only. the calculations are very LESS time consuming. However, molecular mechanics cannot provide answers that rely on the electronic distribution of a molecule.

Drug Design Strategies Based on Molecular Mechanics Target-Based Target Protein Known Docking Ligand-based Target Protein Unknown Pharmacophore & 3D-QSAR Study Lead Ligands Ligands Ligand Structure database (In silico)

Structure-based Drug Design The macromolecular target can be isolated and crystallized…then the structure will be determined using X-ray crystallography. This structure will not give information about the binding site. The co-crystal structure (structure of protein with the inhibitor inside) is better (WHY?): Where is the active site? The distance between inhibitor and binding site boundaries. The possible bonds between inhibitor and binding site.

How to use co-crystal structure in drug design First the inhibitor will be removed from the active site (in silico). The enzyme structure will be minimized to get the lowest energy state. Then lead compounds will be inserted (docked) into the active site to see how they fit. Best fit compounds will be synthesized and tested for activity.

Structure-based (target-based) Drug Design Active site / binding site It is used to design a new drug molecule based on the knowledge of the three-dimensional (3D) structure of the biological target. Active site / binding site

MOLECULAR DOCKING Docking is the identification of low energy conformation after binding of ligand molecule with biological target (receptor or enzyme). The compound that binds perfectly to the active site of target and having minimum energy may considered as drug molecule. The process of “docking” a ligand to a binding site of a target mimics the natural course of interaction of the ligand and its target (receptor or enzyme) via the lowest energy pathway.

WHY DOCKING? Drug work by interacting with biological target (receptor/enzyme) Docking helps to decide a candidate drug will interact appropriately with a target protein? Examine binding model of known ligands to suggest modification. Screen databases of 3D structure to find novel ligands. Drug interaction with receptor can be as an agonist or an antagonist.

Target receptor/ enzyme Types to Docking Ligand-protein docking Protein-protein interaction Protein–DNA interaction Approaches to Docking Ligand Target receptor/ enzyme Rigid body docking Rigid Semi-flexible docking Flexible Flexible docking Approaches to Docking Rigid body docking: Both target (protein) and ligand are treated as rigid bodies. B. Semi-flexible docking: Only the ligand is considered as flexible target (protein) is considered as rigid body C. Flexible docking: Both ligand and protein are treated as flexible molecules.

Scoring Functions During the docking process, they serve as fitness functions in the optimization of the placement of the ligand. When the docking is completed, the scoring function is used to rank each ligand in the database. Some common scoring functions are: 1. Force-field methods 2. Empirical free energy scoring functions 3. Knowledge-based potential of mean force

Docking Softwares Free for Academics: DOCK AutoDOCK Surflex FRED eHits Commercial: GOLD/Glide/FlexX/Discovery studio-CDOCKER.

If you do not have the crystal structure of your target enzyme Three options: Use recombinant DNA technology to produce the enzyme using bacterial cell. Use the homologue of this enzyme from other organism such as bacteria or parasite (homology modeling/comparative modeling). Use Ligand Based Drug Design.

Ligand-based Drug Design Here the crystal structure of the target enzyme or receptor is not available. But their ligands are well defined and characterized. This method not involves molecular docking or homology modeling methods. This method works based on the concept of ‘similar chemical structures have similar chemical activity’.

Ligand-based Drug Design This method will Begin with biologically active compounds. Describe what chemistry those compounds have in common. Few new compounds that match this description. Compounds that match the description will also be active. Initial two steps involving the process called ‘model building’ while the final two steps are known as ‘database screening’.

Methods in Ligand-based Drug Design Description type Molecular Properties, ADME Discrete properties Model building/QSAR Statistics used in discrete properties Substructure matching Discrete 2D substructures 2D fingerprints ‘Bitstring model’ of 2D structure Shape-based screening Overall molecular shape Field-based QSAR Molecular field (steric/electrostatic) 3D pharmacophores Specific arrangement of chemical features (H-bond donors, acceptors, ring aromatic, hydrophobic)

QSAR (Quantitative Structure-Activity Relationship) QSAR is a mathematical relationship between a biological activity of a molecular system and its geometric and chemical characteristics. A general formula for a quantitative structure-activity relationship (QSAR) can be given by the following: Activity = f (molecular or fragmental properties) QSAR attempts to find consistent relationship between biological activity and molecular properties, so that these “rules” can be used to evaluate the activity of new compounds.

QSAR (Quantitative Structure-Activity Relationship) QSAR is a statistical approach that attempts to relate physico-chemical properties of molecules to their biological activities. Various descriptors like molecular weight, number of rotatable bonds, LogP etc. are commonly used in QSAR. Example: Hydrophobicity Vs Biological Activity Activity of drugs is often related to P e.g. binding of drugs to serum albumin (straight line - limited range of log P) Log (1/C) Log P . 0.78 3.82 Log 1 C æ è ö ø = mlogP +

1000’s of Structure Properties for Correlation Molecular Properties 1000’s of Structure Properties for Correlation CHEMICAL PROPERTIES pKa Log P Solubility Stability etc.. MOLECULE STRUCTURE INTRINSIC PROPERTIES Molar Volume Connectivity Indices Charge Distribution Molecular Weight Polar surface Area.... ....... BIOLOGICAL PROPERTIES Activity Toxicity Biotransformation Pharmacokinetics

Types of QSAR Results Atom based - QSAR Field-QSAR G-QSAR Good (blue contour) and Bad (red contour) regions for – Hydrogen bond donors and Acceptors, Hydropobic, Negative groups, Positive groups, electron with drawing and donating groups Field-QSAR (green) and unfavourable (yellow) steric contours; favourable (blue) and unfavourable (red) electrostatic contours;favourable (plum) and unfavourable (cyan) hydrogen bond donor contours;favourable (red) and unfavourable (magenta) hydrogen bond acceptor contours;favourable (yellow) and unfavourable (magenta) hydrophobic contours G-QSAR

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

Pharmacophoric Features H bond Acceptor-Lipophilic H bond Acceptor H bond Donor Hydrophobic- Aliphatic Hydrophobic- Aromatic Hydrophobic Ring aromatic Negatively Ionizable Positively Ionizable Negative Charge Positive Charge

Pharmacophore H-bonding donor H bond Donor Ring aromatic Hydrophobic H-bonding acceptor H bond Acceptor H-bonding acceptor H bond Acceptor

GENERATION of a pharmacophore model

Applications of Pharmacophore Modeling

De-novo Drug Design Involves the design of a novel drug structure based on a knowledge of the binding site alone. In this approach, you must have good supply of enzyme. Sometimes the bacterial version of enzyme will be used (obtained by recombinant DNA technology). The major drawback of this, is the bacterial version is not identical to the human enzyme…. But it can be considered very similar.

Steric-electronic modification Steric hindrance and electronic stabilization have been used to stabilize labile drugs. Two bulky methyl groups sterically shield the carbonyl group from being attacked by a nucleophile. The amide group is electronically more stable than ester group.

Steric-electronic modification An other example is isoxazolyl penicillins: Isoxazole ring is a bulky group which makes oxacillin β-lactamase stable. Also it is an electron withdrawing group which stabilize the compound towards acid degradation.

Metabolic blockers Is groups or substituents that normally added to the drug structure to impair its metabolism…result in prolonged duration of action. Stable towards oxidation at this site

Self-destruct drugs They are stable drugs that under certain conditions will spontaneously degraded … This degradation does not depend on the activity of metabolic enzymes.

Sleeping drugs An inactive drug which is only converted to the active form by external stimuli such as light, heat,… Example: Anticancer porphyrin drugs… large compound that will pass through the leaky membrane into the tumor cells… then the site of tumor will be exposed to red-laser beam to activate the drug…form a reactive oxygen radicals that will attack DNA and membranes.

Sentry Drugs Examples: An other drug is co-administered with the principal drug to guard or assist it. Examples: Clavulanic acid + Amoxicillin. Kaletra (combination of Ritonavir and Lopinavir): Ritonavir is a potent CYP450 inhibitors as well as a good antiviral agent…prevent Lopinavir oxidation. The combination of Carbidopa and Levodopa.

Recommended Books The organic chemistry of drug design by Richard B. Silverman. Second edition, Elsevier, 2004. An introduction to Medicinal Chemistry by Graham L. Patrick. Fourth edition, Oxford, 2009.