#Important Interaction in Drug Receptor Complex And Intro to De Novo Drug Design
Its includes all the interaction like covalent and non covalent interaction like ionic (electrostatic) interactions,
ion-dipole and dipole-dipole interactions,
Hydrogen bonding,
Charge-transfer interactions,
Hydrophobic interactions,
Halogen bonding,
Vander Waals interactions. And introduction to de novo dug design which includes the procedure for LUDI Softwares and other vavity site prediction.
Hey students here i am attaching the powerpoint presenatation on the Receptor/enzyme-interaction and its analysis, Receptor/enzyme cavity size prediction, predicting
the functional components of cavities and the concept regarding the fragment based drug design.
Molecular docking is a computational method that predicts the preferred orientation of one molecule to another when bound and forming a stable complex. It involves finding the best match between two molecules and can be used for drug design and development by predicting the binding affinity between potential drug candidates and their protein targets. Common molecular docking approaches include shape complementarity, which describes interacting molecules as complementary surfaces, and simulation methods, which simulate the actual docking process and calculate interaction energies between molecules. Popular molecular docking software includes AutoDock, FlexX, and GOLD.
Pharmacophore Modeling and Docking Techniques.pptDrVivekChauhan1
Pharmacophore modeling and molecular docking techniques are important computational methods used in drug design and discovery. Pharmacophore models identify the essential molecular features responsible for biological activity. Molecular docking predicts how drug molecules bind to protein targets. The document discusses key concepts like pharmacophores, bioisosterism, and molecular docking workflows. It also covers common docking software and factors that influence docking results like intramolecular forces and target preparation. Overall, the document provides an overview of pharmacophore modeling and molecular docking techniques that are widely applied in rational drug design.
The document discusses structure-based drug design (SBDD). It first provides background on drug design and SBDD. It then describes some key aspects of SBDD, including using the 3D structure of the biological target obtained from techniques like X-ray crystallography and NMR spectroscopy. It also discusses ligand-based and receptor-based drug design approaches. The document then outlines the typical steps involved in SBDD, including target selection, ligand selection, target preparation, docking, evaluating results, and discusses some molecular docking techniques and scoring functions used to predict binding.
The document discusses lead identification and optimization in drug design. It describes the general drug discovery process which includes target validation, assay development, high-throughput screening, hit to lead identification, and lead optimization stages. Lead optimization is one of the most important steps and involves modifying lead compounds to improve potency, selectivity, and pharmacokinetic parameters. Structure-based and ligand-based drug design approaches are used, along with in silico tools to predict properties like toxicity and ensure drug-likeness. Key steps in structure-based design include identifying the binding site and growing fragments in an iterative process until an optimized lead is obtained.
Molecular docking is a computer modeling technique used to predict the preferred orientation of one molecule to another when bound to form a stable complex. It involves fitting potential drug molecules into the active site of a protein receptor in order to identify which molecules may bind strongly. There are different approaches to molecular docking including rigid docking which treats molecules as rigid bodies, and flexible docking which accounts for conformational changes in ligands. The goal of docking is to find binding orientations that minimize the total energy of the system and maximize intermolecular interactions in order to predict effective drug candidates.
This document discusses the key principles and processes involved in drug discovery and drug-receptor interactions. It outlines the steps of choosing a disease target, identifying a bioassay to test potential drug candidates, finding and isolating lead compounds, determining a drug's structure and effects, and identifying forces that cause drug-receptor binding such as covalent bonding, hydrogen bonding, and hydrophobic interactions. The goal is to discover and develop safe and effective therapeutic drugs through a scientific process.
molecular docking its types and de novo drug design and application and softw...GAUTAM KHUNE
This ppt deals with all the aspects related to molecular docking ,its types(rigid ,flexible and manual) and screening based on it and also deals with de novo drug design , various softwares available for docking methodologies and applications for molecular docking in new drug design
Hey students here i am attaching the powerpoint presenatation on the Receptor/enzyme-interaction and its analysis, Receptor/enzyme cavity size prediction, predicting
the functional components of cavities and the concept regarding the fragment based drug design.
Molecular docking is a computational method that predicts the preferred orientation of one molecule to another when bound and forming a stable complex. It involves finding the best match between two molecules and can be used for drug design and development by predicting the binding affinity between potential drug candidates and their protein targets. Common molecular docking approaches include shape complementarity, which describes interacting molecules as complementary surfaces, and simulation methods, which simulate the actual docking process and calculate interaction energies between molecules. Popular molecular docking software includes AutoDock, FlexX, and GOLD.
Pharmacophore Modeling and Docking Techniques.pptDrVivekChauhan1
Pharmacophore modeling and molecular docking techniques are important computational methods used in drug design and discovery. Pharmacophore models identify the essential molecular features responsible for biological activity. Molecular docking predicts how drug molecules bind to protein targets. The document discusses key concepts like pharmacophores, bioisosterism, and molecular docking workflows. It also covers common docking software and factors that influence docking results like intramolecular forces and target preparation. Overall, the document provides an overview of pharmacophore modeling and molecular docking techniques that are widely applied in rational drug design.
The document discusses structure-based drug design (SBDD). It first provides background on drug design and SBDD. It then describes some key aspects of SBDD, including using the 3D structure of the biological target obtained from techniques like X-ray crystallography and NMR spectroscopy. It also discusses ligand-based and receptor-based drug design approaches. The document then outlines the typical steps involved in SBDD, including target selection, ligand selection, target preparation, docking, evaluating results, and discusses some molecular docking techniques and scoring functions used to predict binding.
The document discusses lead identification and optimization in drug design. It describes the general drug discovery process which includes target validation, assay development, high-throughput screening, hit to lead identification, and lead optimization stages. Lead optimization is one of the most important steps and involves modifying lead compounds to improve potency, selectivity, and pharmacokinetic parameters. Structure-based and ligand-based drug design approaches are used, along with in silico tools to predict properties like toxicity and ensure drug-likeness. Key steps in structure-based design include identifying the binding site and growing fragments in an iterative process until an optimized lead is obtained.
Molecular docking is a computer modeling technique used to predict the preferred orientation of one molecule to another when bound to form a stable complex. It involves fitting potential drug molecules into the active site of a protein receptor in order to identify which molecules may bind strongly. There are different approaches to molecular docking including rigid docking which treats molecules as rigid bodies, and flexible docking which accounts for conformational changes in ligands. The goal of docking is to find binding orientations that minimize the total energy of the system and maximize intermolecular interactions in order to predict effective drug candidates.
This document discusses the key principles and processes involved in drug discovery and drug-receptor interactions. It outlines the steps of choosing a disease target, identifying a bioassay to test potential drug candidates, finding and isolating lead compounds, determining a drug's structure and effects, and identifying forces that cause drug-receptor binding such as covalent bonding, hydrogen bonding, and hydrophobic interactions. The goal is to discover and develop safe and effective therapeutic drugs through a scientific process.
molecular docking its types and de novo drug design and application and softw...GAUTAM KHUNE
This ppt deals with all the aspects related to molecular docking ,its types(rigid ,flexible and manual) and screening based on it and also deals with de novo drug design , various softwares available for docking methodologies and applications for molecular docking in new drug design
In silico drug design/Molecular dockingKannan Iyanar
This document discusses rational drug design using computational methods. It begins by explaining how drugs work by binding to biological targets like proteins. It then discusses the need for new drugs to treat new diseases or improve current treatments. The document outlines several methods for screening and designing new drugs, including studying natural products, making modifications, and rational drug design based on understanding the molecular disease process. It describes using the 3D structure of protein targets and molecular docking to design ligands that selectively bind targets. The goals of drug design are to find molecules that effectively bind targets while also having suitable absorption, distribution, metabolism, excretion and toxicity properties. Computational methods can help streamline the drug discovery process.
Molecular docking is a computational technique used in drug discovery to predict how small molecules, like potential drug candidates, bind to protein targets. It involves exploring different orientations of a ligand when bound to the target protein's binding site to form a stable complex. The results of molecular docking help researchers identify ligands that strongly and specifically interact with proteins, guiding drug development and optimization efforts. Key components of molecular docking include the 3D structures of the target protein and ligand, as well as a grid that defines the protein's binding site for efficient sampling of ligand poses. Popular molecular docking software includes AutoDock, DOCK, Glide, and SwissDock.
Molecular recognition is the specific interaction between two or more complementary molecules through noncovalent bonding such as hydrogen bonding, metal coordination, hydrophobic forces, etc. This process is crucial in biological systems and modern chemical research. Molecular recognition can be static, involving a 1:1 complex between a host and guest molecule, or dynamic, where binding of the first guest induces a conformational change affecting binding of a second guest. Molecular recognition is important in fields like supramolecular chemistry, self-assembly, and host-guest chemistry. It has applications in areas like sensing, molecular motors, and enzyme mimicry.
The document discusses structure-based drug design and molecular docking. It begins with introductions to drug design, drug targets, and structure-based drug design. It then describes molecular docking as a technique to predict how small molecules bind to protein targets by calculating binding affinities. The document outlines the docking process, including generating a protein's molecular surface, matching ligand and protein atoms to determine potential orientations, and scoring docked poses to identify favorable interactions. It also discusses using docking for virtual screening to identify potential drug leads from compound libraries.
Pharmacophore identification and novel drug designBenittabenny
pharmacophore is a part of a molecular structure that is responsible for a particular biological or pharmacological interaction that it undergoes. This identification leads to the development of designing a new drug.
This document discusses structure based drug design. It describes how drug design uses knowledge of biological targets to find new medications. Structure based drug design uses information about the 3D structure of protein targets to design ligands that bind to them. The main methods described are ligand-based drug design through database searching, and receptor-based drug design which builds ligands for a receptor. Molecular docking is also discussed as a key technique to predict how ligands bind to protein targets and identify potential drug candidates.
This document discusses structure-based drug discovery and design. It begins with definitions of key terms like drug, receptor, pharmacophore, and stereochemistry. It then covers topics like the Cahn-Ingold-Prelog system for naming stereoisomers, examples of enantiomers and diastereomers, and how stereochemistry impacts biological activity. The document also discusses computer-aided drug design approaches like quantitative structure-activity relationships, molecular docking, X-ray crystallography, NMR, and homology modeling. It explains the goals and techniques of drug design, including ligand-based and structure-based methods.
The document discusses various drug targets including cell membranes, carbohydrates, and proteins like receptors and enzymes. It describes the structure and function of receptors, how they receive chemical messengers and transmit signals into cells. It also covers different types of receptor-ligand interactions and how drugs can act as agonists or antagonists at receptor binding sites to modulate cellular responses.
PRESENTED BY: HARSHPAL SINGH WAHI, SHIKHA D. POPALI
USEFUL FOR PHARMACY STUDENTS AND ACADEMICS, INDUSTRIALS FOR MOLECULE DEVELOPMENT, MODELING, DRUG DISCOVERY, COMPUTATIONAL TOOLS, MOLECULAR DOCKING ITS TYPES, FACTORS AFFECTING, DIFFERENT STAGES, QSAR ADVANTAGES, NEED
This document discusses complexation and protein binding in the context of a pharmacy course. It begins with the vision and mission of the MMCP program, which aims to develop technically competent pharmacy professionals. It then defines complexation as the association between two or more molecules to form a non-covalent entity. Examples of drug complexes discussed include povidone-iodine and cisplatin. The document outlines various applications of complexation such as modifying physical state, solubility, and stability. It also classifies complexes as metal ion complexes involving coordination bonds between a metal ion and electron pair donor ligand. Forces involved in complex formation and methods of analyzing complexes are mentioned.
Molecular docking is a method that predicts the preferred orientation of one molecule to another when bound to form a stable complex. It involves finding the best "fit" between a small molecule ligand and a protein receptor binding site. The key stages are target selection and preparation, ligand selection and preparation, docking, and evaluation. Docking software uses scoring functions to evaluate the strength of interaction and identify the best binding orientation. Applications include virtual screening in drug discovery and predicting enzyme-substrate interactions in bioremediation.
Computational chemistry is a branch of chemistry that uses computer simulation to assist in solving complex chemical problems. It exploits methods of theoretical chemistry, incorporated into efficient computer programs, to calculate the structures, the interactions, and the properties of molecules
Applications of supramolecular chemistry in drug designHarshJaswal6
how supramolecules are used in drug design? these slides are important for the Interdisciplinary topics that means which includes more than topic or found their importance in more than one field.
various approaches in drug design and molecular docking.pptxpranalpatilPranal
Various approaches used in rug design and drug discovery. The document discusses:
1. The process of drug discovery from 1900s to present, including use of chemical libraries, combinatorial chemistry, bioinformatics, and genome mining.
2. Challenges in drug discovery like high costs, failures, and lack of efficacy knowledge prior to synthesis.
3. Techniques in computer-aided drug design like docking, scoring functions, and flexible ligand docking to model drug-target interactions and identify potential drug candidates.
This document discusses various bioinformatics approaches for analyzing molecular interactions, including protein-protein interaction, protein-ligand interaction, docking, pharmacophore, and virtual screening. It provides details on each topic, describing things like how protein-protein interactions occur and are classified, common methods for studying protein-ligand interactions, the basic process and types of docking, and the definition of a pharmacophore. The key topics covered are protein-protein interaction, protein-ligand interaction analysis through methods like docking, and virtual screening using pharmacophore models.
This document provides an overview of rational drug design approaches. It discusses structure-based drug design which relies on knowledge of the target structure obtained through methods like X-ray crystallography. Homology modeling and docking are described as part of structure-based design. Ligand-based design relies on knowledge of other molecules that bind the target and uses techniques like pharmacophore modeling and quantitative structure-activity relationships. Key aspects of pharmacophore modeling, scaffold hopping, and de novo design are also summarized. The document provides a comprehensive yet concise introduction to rational drug design methods.
In silico drug design/Molecular dockingKannan Iyanar
This document discusses rational drug design using computational methods. It begins by explaining how drugs work by binding to biological targets like proteins. It then discusses the need for new drugs to treat new diseases or improve current treatments. The document outlines several methods for screening and designing new drugs, including studying natural products, making modifications, and rational drug design based on understanding the molecular disease process. It describes using the 3D structure of protein targets and molecular docking to design ligands that selectively bind targets. The goals of drug design are to find molecules that effectively bind targets while also having suitable absorption, distribution, metabolism, excretion and toxicity properties. Computational methods can help streamline the drug discovery process.
Molecular docking is a computational technique used in drug discovery to predict how small molecules, like potential drug candidates, bind to protein targets. It involves exploring different orientations of a ligand when bound to the target protein's binding site to form a stable complex. The results of molecular docking help researchers identify ligands that strongly and specifically interact with proteins, guiding drug development and optimization efforts. Key components of molecular docking include the 3D structures of the target protein and ligand, as well as a grid that defines the protein's binding site for efficient sampling of ligand poses. Popular molecular docking software includes AutoDock, DOCK, Glide, and SwissDock.
Molecular recognition is the specific interaction between two or more complementary molecules through noncovalent bonding such as hydrogen bonding, metal coordination, hydrophobic forces, etc. This process is crucial in biological systems and modern chemical research. Molecular recognition can be static, involving a 1:1 complex between a host and guest molecule, or dynamic, where binding of the first guest induces a conformational change affecting binding of a second guest. Molecular recognition is important in fields like supramolecular chemistry, self-assembly, and host-guest chemistry. It has applications in areas like sensing, molecular motors, and enzyme mimicry.
The document discusses structure-based drug design and molecular docking. It begins with introductions to drug design, drug targets, and structure-based drug design. It then describes molecular docking as a technique to predict how small molecules bind to protein targets by calculating binding affinities. The document outlines the docking process, including generating a protein's molecular surface, matching ligand and protein atoms to determine potential orientations, and scoring docked poses to identify favorable interactions. It also discusses using docking for virtual screening to identify potential drug leads from compound libraries.
Pharmacophore identification and novel drug designBenittabenny
pharmacophore is a part of a molecular structure that is responsible for a particular biological or pharmacological interaction that it undergoes. This identification leads to the development of designing a new drug.
This document discusses structure based drug design. It describes how drug design uses knowledge of biological targets to find new medications. Structure based drug design uses information about the 3D structure of protein targets to design ligands that bind to them. The main methods described are ligand-based drug design through database searching, and receptor-based drug design which builds ligands for a receptor. Molecular docking is also discussed as a key technique to predict how ligands bind to protein targets and identify potential drug candidates.
This document discusses structure-based drug discovery and design. It begins with definitions of key terms like drug, receptor, pharmacophore, and stereochemistry. It then covers topics like the Cahn-Ingold-Prelog system for naming stereoisomers, examples of enantiomers and diastereomers, and how stereochemistry impacts biological activity. The document also discusses computer-aided drug design approaches like quantitative structure-activity relationships, molecular docking, X-ray crystallography, NMR, and homology modeling. It explains the goals and techniques of drug design, including ligand-based and structure-based methods.
The document discusses various drug targets including cell membranes, carbohydrates, and proteins like receptors and enzymes. It describes the structure and function of receptors, how they receive chemical messengers and transmit signals into cells. It also covers different types of receptor-ligand interactions and how drugs can act as agonists or antagonists at receptor binding sites to modulate cellular responses.
PRESENTED BY: HARSHPAL SINGH WAHI, SHIKHA D. POPALI
USEFUL FOR PHARMACY STUDENTS AND ACADEMICS, INDUSTRIALS FOR MOLECULE DEVELOPMENT, MODELING, DRUG DISCOVERY, COMPUTATIONAL TOOLS, MOLECULAR DOCKING ITS TYPES, FACTORS AFFECTING, DIFFERENT STAGES, QSAR ADVANTAGES, NEED
This document discusses complexation and protein binding in the context of a pharmacy course. It begins with the vision and mission of the MMCP program, which aims to develop technically competent pharmacy professionals. It then defines complexation as the association between two or more molecules to form a non-covalent entity. Examples of drug complexes discussed include povidone-iodine and cisplatin. The document outlines various applications of complexation such as modifying physical state, solubility, and stability. It also classifies complexes as metal ion complexes involving coordination bonds between a metal ion and electron pair donor ligand. Forces involved in complex formation and methods of analyzing complexes are mentioned.
Molecular docking is a method that predicts the preferred orientation of one molecule to another when bound to form a stable complex. It involves finding the best "fit" between a small molecule ligand and a protein receptor binding site. The key stages are target selection and preparation, ligand selection and preparation, docking, and evaluation. Docking software uses scoring functions to evaluate the strength of interaction and identify the best binding orientation. Applications include virtual screening in drug discovery and predicting enzyme-substrate interactions in bioremediation.
Computational chemistry is a branch of chemistry that uses computer simulation to assist in solving complex chemical problems. It exploits methods of theoretical chemistry, incorporated into efficient computer programs, to calculate the structures, the interactions, and the properties of molecules
Applications of supramolecular chemistry in drug designHarshJaswal6
how supramolecules are used in drug design? these slides are important for the Interdisciplinary topics that means which includes more than topic or found their importance in more than one field.
various approaches in drug design and molecular docking.pptxpranalpatilPranal
Various approaches used in rug design and drug discovery. The document discusses:
1. The process of drug discovery from 1900s to present, including use of chemical libraries, combinatorial chemistry, bioinformatics, and genome mining.
2. Challenges in drug discovery like high costs, failures, and lack of efficacy knowledge prior to synthesis.
3. Techniques in computer-aided drug design like docking, scoring functions, and flexible ligand docking to model drug-target interactions and identify potential drug candidates.
This document discusses various bioinformatics approaches for analyzing molecular interactions, including protein-protein interaction, protein-ligand interaction, docking, pharmacophore, and virtual screening. It provides details on each topic, describing things like how protein-protein interactions occur and are classified, common methods for studying protein-ligand interactions, the basic process and types of docking, and the definition of a pharmacophore. The key topics covered are protein-protein interaction, protein-ligand interaction analysis through methods like docking, and virtual screening using pharmacophore models.
This document provides an overview of rational drug design approaches. It discusses structure-based drug design which relies on knowledge of the target structure obtained through methods like X-ray crystallography. Homology modeling and docking are described as part of structure-based design. Ligand-based design relies on knowledge of other molecules that bind the target and uses techniques like pharmacophore modeling and quantitative structure-activity relationships. Key aspects of pharmacophore modeling, scaffold hopping, and de novo design are also summarized. The document provides a comprehensive yet concise introduction to rational drug design methods.
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Important Interaction in Drug Receptor Complex And Intro to De Novo Drug Design.pptx
1. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
Presented by
Yogesh Kailas Chaudhari
M. Pharm Sem II
Credit Seminar 2023-24
Shri Vile Parle Kelavani Mandal’s Institute of Pharmacy, Dhule
Topic: Important Interaction (Forces) Involved In Drug
Receptor Complex and Introduction to De Novo Drug Design
Guided by
Dr. Pawan Kumar Gupta
(Associate Professor)
Department of Pharmaceutical Chemistry
2. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
What is Drug Receptor Complex?
The term drug receptor or drug target denotes the cellular macromolecule
or macromolecular complex with which the drug interacts to elicit a cellular
response, i.e., a change in cell function.
D + R D-R Drug Response
3. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
4. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
The structure of the 20 primary amino acids are given in figure. Amino acid are
divided into hydrophobic and hydrophilic residues.
5. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
Important interaction (forces) involved in drug receptor
complex.
Interactions involved in the drug-receptor complex are the same forces
experienced by all interacting organic molecules.
I. Covalent bonding,
II. ionic (electrostatic) interactions,
III. ion-dipole and dipole-dipole
interactions,
I. Hydrogen bonding,
II. Charge-transfer interactions,
III. Hydrophobic interactions,
IV. Halogen bonding,
V. Vander Waals interactions.
These include:-
6. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
1. Covalent Bonds –
• Majority of the drug combine with their receptor by weak molecular
interaction.
• These interaction forms a strong link between the drug and it’s receptor but
individually the interaction are irreversible.
• It formed by a drug-receptor interaction, with enzymes and DNA.
Example :
The diuretics drug ethacrynic acid is an A,B-Unsaturated ketone, act by covalent
bond formation with sulfhydryl groups of ion transport system in the renal
tubules.
Ethacrynic Acid
7. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
For covalent bond formation, there should be two
poles; the electrophile and the nucleophile.
Nucleophiles in biology have the following functional groups:
Thiol in the amino acid cysteine.
Hydroxyl in the amino acid serine.
Amine in the amino acid lysine.
Carboxylate in the amino acid glutamic acid
Electrophiles
Epoxide ring.
Alkyl group attached to halogen.
Positively charged centre.
8. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
2. Ionic (or Electrostatic) Interactions
• Drug and receptor groups will be mutually attracted provided they have
opposite charges. This ionic interaction can be effective at distances farther
than those required for other types of interactions, and they can persist longer.
• Basic groups such as the amino side chains of arginine, lysine are protonated
and, therefore, provide a cationic environment.
• Acidic groups, such as the carboxylic acid side chains of aspartic acid and
glutamic acid, are deprotonated to give anionic groups.
Arginine
9. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
3. Ion-Dipole and Dipole-Dipole Interactions
• Greater electronegativity of atoms such as oxygen, nitrogen, sulphur, and halogens
relative to that of carbon, will have an asymmetric distribution of electrons; this
produces electronic dipoles.
• These dipoles in a drug molecule can be attracted by ions (ion-dipole interaction) or
by other dipoles (dipole-dipole interaction) in the receptor, provided charges of
opposite sign are properly aligned.
• Dipole-Dipole interaction > ion-dipole interaction.
10. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
4. Hydrogen Bonds
• Hydrogen bonds are a type of dipole-dipole interaction formed
between the proton of a group X-H, where X is an electronegative
atom, and one or more other electronegative atoms (Y) containing a
pair of non-bonded electrons.
• X removes electron density from the hydrogen so it has a partial
positive charge, which is strongly attracted to
the non-bonded electrons of Y.
• The interaction is denoted as a dotted line,
-X-H---Y-.
11. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
5. Charge-Transfer Complexes
When a molecule that is a good electron donor comes into contact with a
molecule that is a good electron acceptor, the donor may transfer some of its
charge to the acceptor. This forms a charge-transfer complex.
12. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
6.Halogen Bonding
Covalently bonded halogen atom can act as an electron acceptor (Lewis acid) to
undergo halogen bonding with an electron-rich donor atom, such as O, N, or S. The
strength of these interactions is in
the order H=I>Br>Cl>>F.
13. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
7. Vander Waals or London Dispersion Forces
Atoms in nonpolar molecules may have a temporary non- symmetrical
distribution of electron density, which results in the generation of a temporary
dipole.
Consequently, intermolecular attractions, known as van der Waals forces, result.
14. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
De Novo Drug Design
De novo means start a fresh, from the beginning from the scratch.
3D structure of receptor used to design newer molecules.
It involves structural determination of the lead target complex and lead
modification using molecular modelling tools.
Ligand optimization can be done by analysing protein active site properties that
could be probable area of contact by the ligand.
Structure of the binding site can be identified from x-ray crystallography study
of the target protein containing ligand or inhibitor.
The analysed active site properties are described to negative image of the
protein such as: Hydrogen bond donor, Hydrogen bond acceptor, Hydrophobic
contact region.
15. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
Principle
In de novo design, the structure of the target should be known to a high resolution
and the binding to site must be well defined.
This should define not only a shape constrain(refers to the specific 3D structure or
conformation that the receptor protein must adopt in order to properly bind to its
ligand (molecule that binds to the receptor) but hypothetical interaction sites,
typically consisting of hydrogen bonds, electrostatic and other non-covalent
interactions.
Firstly it assembles all possible compounds and evaluating their quality which is
enable searching the sample space for novel structures with drug like properties.
16. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
• The first type of method has been described as outside in method in which the
binding site is first analyzed to determine where specific functional groups might
bind tightly.
• These groups are connected together to give molecular skeletons, which are then
converted into 'real' molecules.
• In the inside out method molecules are grown within the binding site, under the
control of an appropriate search algorithm on the basis of energy function.
• In this study flexible molecules are better than rigid molecules.
Fig. De Novo Drug Design
Two basics types of de novo design algorithms :
17. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
Types Of De Novo Drug Design
Manual Design
• It is slow.
• A single novel structure.
Automated Design
• It is much faster.
• Large number diverse structures.
Procedure For De novo Drug Design:-
1. Crystallize target protein with Bound ligand (enzyme+ ligand).
2. Acquire Structure By X-ray crystallography.
3. Identify Blinding site.
18. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
4. Identify potential binding region in the Binding site.
5. Design a lead compound to interact with the Binding site.
6. Synthesis the lead compound and test it for activity.
7. crystallize the lead compound with target protein and Identify the
actual Binding Interaction.
19. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
Important Points To Take Consideration In De Novo Drug
Design.
• Flexible molecule are better than rigid molecule because the earlier have
more likely to find the alternative binding conformation should they fail to
bind as expected. If the rigid molecule fails to bind as predicted, it may not
bind to all.
• It is pointless designing molecule which are difficult or impossible to
synthesize.
• Similarly it is pointless designing molecules which need to adopt an unstable
conformation in order to bind.
20. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
21. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
22. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
23. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
24. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
25. Vision: To Pursue Excellence in Pharmaceutical Education & Research to Develop Competent Professionals
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Software used in De novo drug design
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Several computer software program have been which are
automatically design novel structure to fit known binding sites.
The following are some examples.
LUDI – One of the best known de novo software program is called
LUDI. Which works by fitting molecular fragments to different
regions of the binding site, then linking the fragments together.
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Interaction Site
For ex - binding site contain methyl group. Program will identify the carbon of
that group as an aliphatic carbon capable of taking part in Vander Waal
interaction.
Identification of Interaction Sites
Fitting Molecular Fragments
Typically 5-30 atoms in size
Fragment bridging
Synthesis the lead compound
Other software – SPROUT , LEGAND.
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APPLICATIONS
Design of HIV 1 protease inhibitors
Design of bradykinin receptor antagonist
Catechol ortho methyl transferase inhibitor
Ex.entacapone and nitecapone
Estrogen receptor antagonist
Purine nucleoside phosphorylase inhibitors
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References:
1. Wang M, Wang Z, Sun H, Wang J, Shen C, Weng G, Chai X, Li H, Cao D, Hou T. Deep
learning approaches for de novo drug design: An overview. Current opinion in
structural biology. 2022 Feb 1;72:135-44.
2. Medina JR, Blackledge CW, Heerding DA, Campobasso N, Ward P, Briand J, Wright L,
Axten JM. Aminoindazole PDK1 inhibitors: a case study in fragment-based drug
discovery. ACS medicinal chemistry letters. 2010 Nov 11;1(8):439-42.
3. Schneider G, Fechner U. Computer-based de novo design of drug-like molecules.
Nature Reviews Drug Discovery. 2005 Aug 1;4(8):649-63.
4. Silverman RB, Holladay MW. The organic chemistry of drug design and drug action.
Academic press; 2014 Mar 29.
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